初创公司尽调
尽调报告 robotics / hardware Series B / growth 2026-07-01

Bose Quantum

国家支持的光子量子扩张公司,产品动能真实,但经济性不透明

Bose Quantum 具备战略重要性和足够可信的技术证据,值得继续尽调;但公开披露对收入、轮次条款和估值太薄,无法在未披露价格上承保。

封面要素

最近一轮融资 01
145 USD M [CO015]
当前代际 02
1000 qubits [CO032]
云端使用量 03
18M+ task calls [CO034]
服务机构数 04
400+ institutions [CO034]

公司概况

Bose Quantum 是一家位于北京的光子量子计算公司,成立于 2020 年 11 月,业务把专用硬件、云端访问、SDK 工具和制造野心绑在一起。公开来源核实了 100、550 和 1000 量子比特产品代际、与 China Mobile 相关的云平台、深圳工厂建设,以及 2026 年 3 月 CNY 10 亿 B 轮融资,但收入、利润率和精确投后估值仍未披露。

官网
www.qboson.com
成立时间
2020-11-16
创始人
Wen Kai
创立地点
Beijing, China
总部
Chaoyang District, Beijing, China
产品
面向优化和企业或科研应用负载的专用相干光子量子计算机、Wuyue/Hengshan 云平台、Kaiwu SDK,以及相关控制和制造基础设施。
客户
科研机构、电信和云合作伙伴、超算中心,以及 AI、生物医药、金融、物流、能源和通信领域的企业用户。
商业模式
可能混合硬件系统销售、云端任务访问、软件 / 开发者工具和战略项目部署,但具体收入模式没有公开披露。
阶段
Series B / growth
融资情况
2026 年 3 月完成 CNY 10 亿 B 轮,此前在 2023 年完成 A 轮、2024 年完成 A+ 轮、2025 年完成 A++ 轮;精确投后估值和条款在公开来源中仍未核实。
[CO001, CO003, CO004, CO007, CO015, CO032, CO035, CO036]

执行摘要

主要优势

  • 真实硬件、云和工具面已经浮出水面:公开来源验证了 100-qubit、550-qubit 和 1000-qubit 系统,以及 Wuyue/Kaiwu 生态资产。
  • 强投资人支持最终落到 CNY 1 billion Series B 和深圳制造推进上。
  • China Mobile 等具名部署,比纯实验室创业公司给出更强商业化信号。
  • 面向中国的战略重要性,可能让 Bose Quantum 持续嵌在国内政策与产业生态里。

主要风险

  • 收入、毛利率、烧钱速度、现金跑道和准确投后估值仍未披露。
  • 即便资金充足,光子量子商业化的技术和商业不确定性仍高。
  • 工厂建设和芯片线计划会在重复需求被公开证明前抬高资本强度。
  • 政策和出口管制暴露,可能收窄供应商、资金池或国际 go-to-market 选择。

未决问题

  • Series B 的准确投后估值、证券类型和清算优先权。
  • 经审计收入、毛利率、现金烧钱速度和现金跑道。
  • 18M+ 云使用量指标背后的付费客户续约和合同经济性。
  • 工厂良率、供应商图谱和出口管制缓释方案。

目录

Chapter 01

01公司概览

1.1 身份、总部与阶段

Bose Quantum,英文也使用 Boson Quantum Technology 或 QBoson 品牌,是一家北京私营光子量子计算公司,现行法定名称为 Beijing Boson Quantum Technology Co., Ltd.,公司类型为非上市股份有限公司。登记记录和官网把公司定位在北京市朝阳区,成立日期为 2020-11-16,经营地址在万红西街。业务模式不是纯软件栈:公司称自己是全栈光子量子平台提供商,覆盖专用量子计算硬件、云端访问、开发工具,以及面向企业和科研负载的应用部署。公开证据支持的当前阶段,是一家处于 B 轮、正在扩张的私营硬件公司,而不是成熟商业运营商。最强公开来源确认了激进的技术和制造野心,但没有披露经审计收入、经常性软件经济性或干净的投后估值,因此这些指标仍是明确的尽调缺口,而不是事实。[CO001, CO002, CO003, CO004, CO005, CO006]

FO002: 公司快照逻辑

Bose Quantum 如何把光量子硬件、云工具、合作伙伴和资本接成商业化闭环。

[CO003, CO005, CO008, CO018, CO021, CO030]

1.2 创始人、管理层与关键人物依赖

公开的领导层叙事高度围绕创始人兼 CEO Wen Kai 博士。英文行业报道、公司网站和学术记录都指向他的 Stanford 博士背景、Google 量子业务经历,以及早期参与相干 Ising 机研究。官方团队页还把 COO Ma Yin、CTO Wei Hai 和首席科学家 Wang Chuan 列为推动产品化的核心高管。登记类来源增加了一层薄但有用的治理信息:Aiqicha 将 Ma Yin 标为副董事长,并列出 Li Huiling、Jiang Peixing、Ruan Dong 和 Wang Dan 在财务或董事岗位任职。这足以说明公司已经不只是单一创始人叙事,但还不足以核实独立董事会监督、股东控制、董事会委员会或决策权。关键人物集中度因此仍然重要:技术故事、外部品牌和投资人信号仍都经过 Wen Kai 和创始技术团队传导。[CO007, CO008, CO009, CO010, CO011, CO012]

领导层与创始人表
人物职务背景创始人-市场匹配 / 覆盖关键人物依赖
Wen Kai创始人兼 CEOStanford 博士;前 Google 量子负责人;发表过量子计算研究技术型创始人-市场匹配极强,外部可信度高
Ma Yin联合创始人、COO / 副董事长官网和注册记录列名、偏运营的联合创始人连接产品化和公司治理
Wei HaiCTO官网列名的技术负责人支撑架构和执行深度
Wang Chuan首席科学家官网列名的科学负责人锚定研究可信度和技术方向
Li Huiling财务负责人Aiqicha 列为财务负责人补上财务职能,但公开运营细节很少
Jiang Peixing / Ruan Dong / Wang Dan 等人董事注册类来源列名显示正式治理面比英文媒体报道更宽

领导层表结合官网团队页职务和 Aiqicha 治理记录;公开董事权利细节仍有限。

[CO007, CO008, CO009, CO010, CO011]

1.3 融资历史、投资人与资本信号

Bose Quantum 自成立以来多次融资,TMTPost 将 2024 年末的 A+ 延伸轮描述为公司成立后的第七次融资事件。公开记录对已命名轮次最清楚,对完整累计股权表则没有同等透明度。2023 年 A 轮超过 RMB 1 亿,并与 China Mobile 和清华系资本相关。北京政府背景基金领投 2024 年 A+ 融资;2025 年 10 月 A++ 轮引入新一批战略和财务投资人,金额达数亿元人民币;2026 年 3 月 B 轮达到 CNY 10 亿(约 USD 1.45 亿),财团由国资背景或机构关联投资人主导。模式比精确累计融资额更重要:Bose Quantum 正被当作国家战略型深科技制造商融资,而不是轻资本软件创业公司。即便如此,公开来源仍没有完整披露轮次条款、清算优先权、老股转让、债务或精确持股比例,因此除头部融资额之外的资本充足性仍需要直接尽调。[CO014, CO015, CO016, CO017, CO018, CO019]

利益相关方或投资人地图
利益相关方角色控制 / 经济重要性尽调问题
Beijing Financial Holdings / ICBC Capital / CMBI / Shenzhen Investment Holdings 等资本方Series B 轮领投资本方高:锚定 CNY 1B 轮和国家相关战略支持确认持股比例、董事会权利和任何政策任务
Beijing Chaoyang Shunxi / Addor Capital 及其他 Series B 轮跟投方后续成长投资人中高:为制造扩产提供辛迪加深度确认领投 / 跟投拆分和按比例跟投权
Huade Tech Innovation / Nanshan Strategic Emerging Investment 等资本方2025 年 A++ 轮共同领投方高:资助工厂扩张前阶段确认融资是否附带工厂激励
GF Xinde / Hunan Caixin Industrial Fund / Weide Information / QF Capital 等资本方A++ 轮参与方和重复支持者中:来自财务资本和上市公司资本的战略验证确认后续储备和治理权
Beijing High-Precision and Cutting-edge Industry Development Fund 等资本方2024 年 A+ 轮领投方高:政府背景资本支持商业化推进确认支持是战略性、财务性,还是混合型
China Mobile Digital New Economy Fund / Tsinghua Holdings Capital 等资本方2023 年 Series A 轮领投方中高:早期国家冠军和电信链路确认商业拉动与纯财务支持的比例
China Mobile / National Supercomputing Center Chengdu / BGI 等合作方战略客户或合作伙伴,而非股东中:需求验证和应用场景信号厘清付费部署、合同金额和续约条款

投资人地图聚焦 2023-2026 年各轮公开点名的利益相关方;股权比例、清算优先权和老股转让不公开。

[CO016, CO017, CO018, CO019, CO020, CO021]

1.4 封面指标、规模信号与披露缺口

可核实的头部指标偏运营而非财务。登记和公司来源支持 2020 年成立、现总部在北京、Aiqicha 报告参保员工 96 人,以及公司自称 70% 为研发人员、65% 为硕士或博士人才。产品使用证据比收入证据更强:TMTPost 报道 550 量子比特云平台累计超过 1800 万次任务调用,服务 830 个学科的 400 多家机构,并产出 440 多份应用报告;公司还声称 Kaiwu 社区拥有数千名开发者。这些指标说明生态触达,但不能证明付费客户数、经常性软件收入或硬件毛利率。精确投后估值在公开来源中同样不透明:订阅数据库追踪公司及其 B 轮状态,但开放访问输出无法独立核实被反复提及的独角兽估值。因此,我们把估值、收入、ARR、烧钱速度和跑道期都保留为没有公开支撑的封面指标。[CO006, CO013, CO025, CO026, CO027, CO030]

快照 KPI 表
指标数值 / 状态截至信心缺口 / 备注
成立2020-11-162026-07注册信息和公司来源支持
总部北京市朝阳区2026-07申报文件和官网地址一致
当前法律形式其他股份有限公司(非上市)2026-06QCC/Aiqicha 显示 2026 年 6 月由 LLC 转为股份公司
参保员工962026-06Aiqicha 参保人数;不是完整组织架构
研发人员占比70%2026-07公司关于页面口径
高级学位占比65%2026-07公司关于页面口径
最新披露融资CNY 1 billion B 轮2026-03Xinhua、YiCai、QCR 和 TQI 广泛交叉印证
开源估值2026-07独角兽级估值没有在开源资料中独立验证
收入 / ARR / 烧钱2026-07没有经审计的公开财务披露
云采用标记18M+ 次任务调用;400+ 家机构;830 个学科2024-2025使用指标,不是已确认付费客户

各行区分已验证经营事实和缺少支持的财务指标;null 表示本次查阅的开源资料没有验证该数值。

[CO001, CO002, CO003, CO011, CO012, CO013]
FO003: 快照 KPI

头部成熟度与披露指标显示技术动能,但财务透明度仍不完整。

[CO001, CO013, CO017, CO025, CO026, CO030]

1.5 里程碑、商业化与反向背景

公司时间线显示,它从科研创业公司快速转向制造主张方。Bose Quantum 成立于 2020 年末,2023 年公开发布 100 量子比特相干光子系统,同年晚些时候开通与 China Mobile 相关的 Hengshan 云平台;2024 年扩展到 550 量子比特机器并完成首个商用光子系统销售;2025 年又把 A++ 轮融资与深圳工厂建设放在一起推进。到 2026 年 3 月至 5 月,公司完成 CNY 10 亿 B 轮,发布 Yuliang Shanhai 1000 代际,并把自己定位为中国首家大规模专用光子量子制造商。时间线方向很强,但反向背景同样重要。Physics World 记录 Alibaba 和 Baidu 在 2023-2024 年退出直接量子硬件研究,说明即便资金更充裕的技术平台,中国商业量子市场仍然难做。因此,Bose Quantum 的里程碑速度值得关注,但还不等于需求已经去风险化,也不等于经济性已经透明。[CO014, CO017, CO018, CO020, CO030, CO031]

里程碑表
日期事件类型金额 / 估值 / 状态参与方含义
2020-11-16公司在北京成立创立已注册Wen Kai 和创始团队光子量子商业化努力起点
2023-03完成 Series A 轮融资>RMB 100M (~$14.4M)投资方:China Mobile Digital New Economy Fund;Tsinghua Holdings Capital硬件研发获得早期战略资本
2023-05发布 100 量子比特相干光量子系统产品国内首台 100 量子比特相干光量子机器Bose Quantum证明硬件已越过概念阶段
2023-12与 China Mobile 推出 Hengshan / Wuyue 云平台公测合作云平台上线China Mobile + Bose Quantum云访问扩大开发者和机构触达
2024中国首台商业光量子计算机销售并开具税票规模完成商业交付Bose Quantum + 客户未完全披露首次真实硬件货币化尝试的证据
2024-12北京光电产业基金领投 A+ 延展轮融资数千万元人民币BOE/NAURA 支持的国家相关基金强化商业化资本
2025-08深圳光量子计算机工厂开工规模年产数十台目标QBoson / Shenzhen Nanshan制造野心从计划进入设施建设
2025-10完成 Series A++ 轮融资数亿元人民币Huade;Nanshan;GF Xinde 等支持芯片、工厂和通用路线图
2026-03完成 Series B 轮融资CNY 1B (~$145M)国家相关机构辛迪加大规模制造和芯片试验线资金
2026-05发布 Yuliang Shanhai 1000 和首款通用光子芯片产品1000 个专用量子比特;超频模式最高 3000 个Bose Quantum释放下一代产品和更宽平台野心信号

这是本次审阅中,Bose Quantum 关于创立、融资、产品、合作和规模里程碑的唯一有日期基准的记录年表。

[CO001, CO014, CO018, CO019, CO020, CO021]
FO001: 公司里程碑时间线

2020 年以来的创立、硬件、云、工厂和融资节点,一直到 2026 年产品与资本台阶抬升。

[CO001, CO014, CO018, CO019, CO020, CO030]

1.6 证据要点

Chapter 02

02市场分析

2.1 市场边界、纳入支出与现状替代方案

Bose Quantum 的相关市场是量子计算系统和服务,不是整个量子技术大伞。Bose 自身产品材料和 China Mobile 发布报道描述的栈,包含专用光子硬件、云端运行时访问、Kaiwu 开发者工具,以及面向应用的支持。QED-C 和 USCC 通过清晰区分量子计算、量子通信和量子传感,帮助界定这一市场。因此,纳入的支出池是硬件系统、云端或托管访问、工作流工具,以及面向仿真或优化问题的项目制应用工作。被排除或仅相邻的支出池包括通用半导体支出、广义 AI 基础设施、量子网络和传感预算,除非买方明确在资助混合量子工作流。这个区分很关键,因为 Bose 并不是在和所有企业计算竞争。它是在一组更窄的任务上,与经典 HPC、AI 模型和启发式优化工具竞争;这些任务的买方相信,光子量子最终可能在速度、搜索广度或仿真保真度上跑赢既有方法。[CM001, CM002, CM003, CM004, CM005]

市场定义表
细分 / 类别纳入支出排除支出买方 / 付款方与 Bose Quantum 的相关性
专用量子计算硬件光子或其他量子处理系统、控制模块、集成和安装经典服务器、通用芯片、无关光学国家实验室、HPC 中心、企业 R&D 或战略项目Bose 的核心切入点,因为产品页围绕专用光子机器展开
量子云访问托管运行时访问、任务提交、监控、认证和托管使用不含量子运行时的通用 IaaS研究机构、政府或企业创新团队匹配 China Mobile 平台发布,并降低首批用户进入摩擦
SDK 和工作流工具开发者库、仿真环境、笔记本环境、模型转换和验证非量子专用的通用 Python 工具开发者、数据科学家、量子团队支撑 Bose 的采用路径,因为 Kaiwu 是服务栈一部分
应用与共同开发服务用例设计、试点支持、算法调优、垂直领域集成不绑定量子工作流的广义咨询创新、R&D 或业务单元发起人可能是把实验性访问转成行业试点的必要环节
相邻但排除的类别除上述量子计算栈外无其他纳入项量子传感、量子通信、通用 AI/HPC 预算、广义半导体资本开支买方和预算不同防止 Bose 把全部量子或全部计算都纳入可服务市场

纳入行定义与 Bose 公开产品和云栈直接对应的支出池;排除行是相邻技术或通用计算预算,若计入会抬高 TAM。

[CM001, CM002, CM003, CM004, CM013]

2.2 受证据约束的规模测算与相互矛盾的市场视角

公开来源支持市场分析,但不支持把 TAM 简化成一条线。QED-C 给出最干净的当前变现视角:2025 年量子技术市场为 $1.9B,其中计算板块为 $1.4B,并将在 2028 年扩大到 $3B 以上。McKinsey 提供另一种视角:已有 300 多家组织在与量子厂商合作,2025 年投资额飙升至 $12.6B。Post-Quantum 对 McKinsey 的总结把时间拉得更长,认为 2035 年内部量子技术市场大约为 $60B 至 $100B,其中量子计算贡献 $43B 至 $71B。这些数字不能直接相加,因为它们混合了当前收入、未来厂商市场预测和更广的经济价值池。对 Bose 来说,稳妥结论是:当前已变现需求的绝对规模仍小,但买方形成、资本形成和战略政策信号已经足以支撑一场真实的商业化竞赛。因此,最诚实的规模框架是受证据约束,而不是强行堆出 TAM-SAM-SOM。[CM006, CM007, CM008, CM009, CM010, CM011]

TAM / SAM / SOM 或规模测算视角表
发布方年份地域数值 / 视角CAGR方法信心局限
QED-C2026全球2025 年量子技术市场:$1.9B;量子计算子板块:$1.4B行业层面年均增长 30%覆盖市场规模、投资、劳动力和 IP 的联盟记分卡当前收入视角,不是 Bose 专属 SAM
QED-C2026全球量子计算预测:到 2028 年超过 $3BN/A与 2026 年行业状态报告相关的前瞻市场预测预测行只覆盖量子计算收入,不覆盖总经济价值
McKinsey(经 Post-Quantum 摘要)2026全球2035 年内部量子技术市场:约 $60B-$100BN/A第三方摘要的咨询市场模型分母和时间范围不同于 QED-C 当前收入视角
McKinsey(经 Post-Quantum 摘要)2026全球2035 年量子计算供应商市场:约 $43B-$71BN/AMcKinsey 2035 年内部市场视角的子集时间太远,不能直接换算成 Bose 份额
McKinsey2026全球300+ 家协作组织N/A观察到的企业协作数量买方池宽度信号,不是收入
MERICS / USCC2024-2025中国约 $15B 的国家科研和产业支出视角N/A政策和生态分析资金或基础设施视角,不是商业需求

各行有意混合当前收入、未来供应商市场预测、买方形成数量和国家资金视角,因为公开量子市场规模高度受边界影响;这些数字不应相加。

[CM006, CM007, CM008, CM009, CM010, CM011]
FM001: 市场规模测算视角

证据受限的市场金字塔:从 2035 年广义经济价值,到 2035 年供应商市场视角,再到当前已货币化量子计算收入,单位均为十亿美元。

所有数值均按低端锚点以十亿美元计,便于各层共用单位;顶层是经济价值,中层是未来供应商市场视角,底层是当前收入,因此金字塔只表示方向,不能相加。

[CM012, CM033, CM041, CM042]
FM002: 市场估算区间

量子市场不同视角的低—基准—高公开区间,单位均为十亿美元,显示今天的收入基数与 2028、2035 年展望的差异。

第 1 行覆盖 QED-C 对当前仅计算和全部量子技术收入的视角;第 2 行采用 QED-C 的 2028 年 >$3B 下限,以及 Post-Quantum 总结的 McKinsey 2028 年 $4.4B 视角;第 3 行采用 McKinsey 2035 年 $43B-$71B 计算市场区间,并推导中位数用于可视化。

[CM006, CM011, CM012, CM040]

2.3 买方、用户和付款方分层;采用路径

公开来源中的买方故事,在科研和战略创新预算边缘最清楚,而不是在大众企业 IT 里最清楚。Bose 和 China Mobile 把今天的服务模式定位为云优先访问,面向科研用户、政府和企业团队,以及希望先通过 SDK 工具提交任务、再决定是否重部署的开发者。同业光子厂商也指向类似模式:用例集中在制药、化工、材料、金融、物流、能源和网络安全,而企业基准研究突出金融和汽车领域已经投入资源做量子实验的领先者。IQM 2026 年研究解释了为什么 Bose 短期买方很可能是成熟机构:89% 的受访者已经在动手实践,但只有 3% 达到规模化部署;预期使用混合或部分本地访问的买方,多于只使用公有云的买方。实践中,买方旅程仍是顺序推进,而不是一蹴而就。团队先学习,测试云端或混合工作流,共同开发商业用例,与现有系统集成,然后才考虑专用容量或重复生产采购。这个阶段式路径支持 Bose 的 SDK 加云切入点,但也意味着从生态使用转化为经常性付费收入,在公开来源中仍未被证明。[CM013, CM014, CM015, CM016, CM017, CM018]

细分 / 买方地图
细分买方用户付款方工作流预算负责人采用触发因素
国家实验室 / HPC 中心实验室主任或 HPC 项目负责人研究人员、算法团队、领域科学家政府或机构研究预算云实验 -> 混合试点 -> 专用容量申请研究项目办公室需要在经典基线之外做仿真或优化
国家相关云 / 电信平台平台所有者或战略技术单元平台工程师和合作伙伴开发者战略平台预算将运行时接入托管云服务 -> 向用户开放任务访问中央技术或创新预算国家冠军定位和生态建设
制药 / 化学 / 材料 R&D计算科学或 R&D 负责人研究科学家和建模团队R&D 预算问题界定 → 算法试点 → 联合开发 → ROI 得到验证后进入生产研发负责人药物、材料或催化剂模拟受经典工具限制
金融机构创新负责人或量化研究业务发起人量化人员、风险团队、组合研究员创新或量化研究预算试点投资组合或风险工作流 → 混合集成 → 有限生产使用量化研究或创新办公室优化、风险或定价工作负载,能带来可衡量的延迟或质量收益
工业、物流和能源运营商运营创新或数字化转型负责人工艺工程师、规划人员、优化团队业务单元转型预算用例工作坊 → 云端试用 → 工作流集成运营或转型预算复杂路线、排程、能源或供应链优化痛点

买方、用户、付款方和预算负责人这些单元格,是从公开厂商页面、China Mobile 发布材料和企业采用研究推断出的、有证据支撑的原型,而不是披露的 Bose 合同条款。

[CM013, CM014, CM015, CM017, CM018, CM019]
FM003: 买方 / 细分市场地图

序数买方地图,显示 Bose 当前公开的光量子与云定位在哪些位置最强。

[CM020, CM031, CM036, CM037, CM043]
FM004: 采用漏斗 / 价值链地图

观察到的量子采用路径从教育走向规模化部署,与 Bose 云 + SDK 的销售触点相匹配。

[CM013, CM017, CM018, CM034, CM035, CM044]

2.4 增长驱动、采用约束与剩余尽调缺口

Bose 受益于真实的结构性驱动。中国国家主导的量子生态把大量战略资金、公私协调和实验室到市场的商业化压力导入该行业。QED-C、MERICS 和 USCC 都指向同一大格局:量子仍然资本密集、供应链敏感,也足够具有战略重要性,以至于政府和大型机构愿意在标准化企业需求显现之前补贴生态建设。这有利于 Bose 的本土市场。反向力量是,商业化风险仍高。人才稀缺、供应链脆弱、私营市场需求仍难观察,即便看多的来源也把这个市场描述为更奖励准备而非立刻规模化的市场。D-Wave 努力把自己的付费生产使用与行业其他玩家区分开来,反过来说明真正部署仍然罕见。尽调上,最大的剩余缺口都与 Bose 自身相关:公开来源没有披露定价、合同金额、从云端试用到付费生产的转化率,也没有透明的中国细分市场拆分。这些缺口让市场方向值得投资人研究,但使精确的 Bose SAM 或 SOM 仍无法落地。[CM021, CM022, CM023, CM024, CM025, CM026]

增长驱动因素与约束表
驱动因素 / 约束方向时点影响尽调问题
国家资金与公私协调驱动当前至 2030 年加快生态建设,也让 Bose 在本土市场拥有比单靠私人需求更深的基础设施底座Bose 未来需求有多少依赖国家关联采购或补助项目?
云端与 SDK 访问驱动当前买方在投入专用系统前可以先学习和试点,漏斗顶部因此变宽Bose 云用户或开发者中,有多少会转化为付费试点或生产合同?
光子模块化和可制造性主张驱动当前至 2035 年可能提升可维护性、联网能力,也让最终本地部署更适合企业或 HPC 买方哪些光子优势已经体现在实际采购胜单里,而不只是路线图表述?
金融、医药和工业优化中的企业竞争压力驱动当前至 2030 年即使完整容错尚未实现,也会催生实验预算哪些垂直领域已经对 Bose 特定工作负载形成可重复付费意愿?
跨学科人才短缺约束当前拖慢试点设计、集成和买方内部准备Bose 有什么证据证明各垂直领域的客户成功能力和培训深度?
先进量子组件供应链脆弱约束当前至 2030 年增加硬件扩容执行风险,也可能拉长交付周期哪些光学、控制和组件依赖仍在海外或单一来源?
ROI 证明和工作流集成要求约束当前买方越来越看重校准访问、可解释性和集成,而不是量子比特数营销Bose 能否在具名客户问题上拿出经过基准测试的工作流收益?
全行业规模化生产仍然少见约束当前至 2029 年云端使用或试点未必能转化为持久经常性收入有多少 Bose 部署已经付费、续约,并持续用于生产?

驱动因素和约束混在一起,因为两者共同决定 Bose 表面的市场机会能否在风险投资时间表内变现。

[CM021, CM022, CM023, CM024, CM025, CM026]

2.5 证据要点

Chapter 03

03竞争者

3.1 直接的光子与架构同类公司

Bose 的公开材料明确显示,它卖的不是通用量子软件层,而是一套光子栈,覆盖专用硬件、室温运行、通过 China Mobile 的 Wuyue 平台云端暴露,以及 Kaiwu SDK 工具。这让它进入的买方讨论,更接近光子或光学优先厂商,而不只是超导或离子阱既有厂商。PsiQuantum 正沿硅光子路线推进实用级系统;ORCA 面向 HPC 集成销售机架式、室温 PT 系统;Quandela 提供云端和本地 MosaiQ 系统以及 Perceval 工具;Xanadu 继续把 Aurora 定位为可扩展、网络化、模块化的光子计算机。LightSolver 不是量子公司,但在战略上重要,因为它试图用模拟光学硬件而不是量子比特来赢下优化类预算。结果是,Bose 的核心模态有差异化,但并不独一无二。买方已经有多种方式押注光子、网络化光子或光学计算,而不必专门选择 Bose。因此,在已审阅材料中,Bose 最强的直接优势是本土渠道适配和部署叙事,而不是对室温或云可访问光子计算的独占主张。[CP001, CP002, CP003, CP004, CP005, CP006]

竞争对手概况表
竞争对手类别规模 / 融资视角目标客群差异化局限
Bose Quantum直接光子参照私营 Series B 硬件扩张阶段;公开收入未披露需要硬件、云端和 SDK 访问的中国关联科研、企业和战略用户室温光子系统、China Mobile 云集成、Kaiwu SDK、本土政策契合无公开价目表、付费客户数量或广泛全球采购入口
PsiQuantum直接光子同业私营;定位公用事业级,已审页面无公开价目表化学、材料、PDE、国防等高算力工作流硅光子路线图、模块化架构、应用牵引的企业叙事商业访问和定价仍不如既有云厂商透明
ORCA Computing直接光子同业私营;PT-1 和 PT-2 系统已有公开描述,具体收入未披露需要机架式光子系统的 HPC、优化、AI 和科学用户室温机架系统、混合工作流、按领域试点的 GTM已审页面更强调试点和架构,较少给出广泛市场采用指标
Quandela直接光子同业私营;公开披露 6-24 量子比特 MosaiQ 产品和 2,461 名活跃云用户需要云端或本地光子访问的欧洲科研和企业团队云端加本地交付、Perceval 工具包、灵活定价、能效型光子系统相比 IBM 级生态,公开规模仍小;简单标价尚未完全标准化
Xanadu直接光子同业私营;已审 Aurora 新闻稿,保留来源无公开定价关注模块化光子联网路径的开发者和机构以联网化、模块化光子为定位,并有知名软件生态已审保留来源给出的商业化细节少于 ORCA 或 Quandela
IBM Quantum全栈既有厂商公开定价、本地部署选项和 300+ 成员网络寻求可信托管访问的企业、学术和政府买方已审样本中最透明的企业级打包,并掌握广泛生态硬件路线不同;达到有意义规模仍需高价投入
D-Wave退火 / 混合既有替代者上市公司;2025 年收入 $24.6M,并提供公共云服务重视生产工作流和混合求解器的优化密集型买方公开收入证明、Leap 云、混合求解器打包、实时访问主张架构更专用,并非直接光子等价物

所选集合覆盖买方最相关的直接光子同业、既有量子厂商,以及一个在保留的 2026 年公开材料中可见的架构特定替代者;它不是全球每一家量子创业公司的穷尽清单。

[CP001, CP003, CP005, CP006, CP007, CP008]
FP001: 竞争定位地图

证据支撑的序数地图,按公开商业化透明度(x 轴)和部署可达性 / 灵活性(y 轴)比较 Bose 与替代方案。

坐标轴是 1-5 的序数估计,只综合本次保留的公开证据。x 越高,公开价格、商业化指标和采购清晰度越可见;y 越高,云、本地或多环境部署灵活性越可见。

[CP012, CP014, CP016, CP017, CP023, CP024]

3.2 既有厂商、云中介与替代路径

Bose 面临的更难竞争压力,可能来自光子之外。IBM、D-Wave、IonQ、Quantinuum 和 Rigetti 都已经把硬件、云端访问、开发者工具或商业化证明的某种组合,变成公开采购界面。IBM 发布免费、按量付费、项目制、高级和本地计划,并用 300 多成员网络强化这些方案。D-Wave 把退火和混合求解器包进云服务,宣称可用性,并在公开年报中展示真实收入。IonQ 强调与所有主流云和 SDK 集成,Quantinuum 则依靠保真度领先和 BMW、bp、SoftBank、Synopsys 等企业案例。Rigetti 的芯片到云叙事和可销售的 Novera 开发硬件展示了另一种既有厂商模式:让平台更容易试用、更容易教学,也更容易插入现有工作流。云中介会加深挑战。AWS Braket 和 Azure Quantum 让买方在同一界面比较不同硬件家族,使实验常态化,也削弱单一厂商锁定故事。NVIDIA 和 LightSolver 进一步扩大替代集合,主张部分优化或混合负载可以由加速经典系统或模拟系统赢下,而不必依赖纯量子硬件。[CP014, CP015, CP016, CP017, CP018, CP019]

功能 / 购买标准矩阵
购买标准BoseORCAQuandelaIBM QuantumD-Wave云经纪商(AWS/Azure)
室温或轻数据中心部署叙事强:官网强调室温运行,不需要真空低温设备强:PT 系统为机架式且室温运行强:光子系统按节能、可装入数据中心来销售中:有本地部署和托管访问,但已审页面的硬件叙事并不以室温优先中:云优先且支持本地部署,但卖点不是室温简化N/A:经纪层,不拥有硬件
公共云访问中:China Mobile Wuyue 集成已公开中:领域试点和 HPC 集成已公开;广泛公共云市场存在感较弱强:专属云平台披露了活跃用户数和伙伴访问强:平台、套餐和网络均公开强:Leap 是核心 GTM 入口强:专为多厂商云访问设计
本地部署或主权路径未知至中:硬件存在,但公开合同结构未披露强:PT 系统定位为可集成进现有 HPC 基础设施强:MosaiQ 交付和合作伙伴数据中心托管已公开强:有专门本地部署方案中:有本地 QPU 访问,但云仍是主线叙事弱:经纪商降低承诺成本,但不能替代厂商自有的主权部署
公开定价可见度弱:未找到保留的 Bose 标价或合同费率弱:已审页面未发布标价中:灵活定价和预约机制已公开,但不是简单价目表强:免费、按秒、年度和本地部署价格结构已发布中:服务打包已公开,但已审页面没有分钟级标价强:AWS 和 Azure 发布定价结构和服务商套餐细节
开发者工具与工作流抽象中至强:Kaiwu SDK 已存在,但公开生态广度较不清晰中:面向优化和 AI 用例的混合开发环境强:Perceval、API 和 SDK 是云产品核心强:Qiskit Runtime、Functions 和网络计划写得很明确强:Leap 提供混合求解器和多层栈强:经纪模式把跨厂商实验标准化
企业采购 / 信任界面中国为中,全球较弱:China Mobile 集成有助本土市场,但公开的全球采购标记很少中:技术可信度公开,但广泛采购证明有限中:有伙伴背书和用户数,但足迹仍在形成强:网络规模、套餐、支持和本地部署选项明确强:有审计申报、公开收入和生产使用叙事强:超大云厂商采购和市场入口降低采购摩擦

单元格仅概括截至 2026-07-01 运行日保留的公开证据。未知或弱项反映已审页面的可见度,不代表能力不可能或不存在。

[CP002, CP003, CP007, CP010, CP011, CP014]
FP002: 功能广度 / 能力地图

按类别比较直接光子厂商、现有大厂、经纪商和替代品在五个决策维度上的买方契合度矩阵。

强 / 中等 / 弱评级按竞争者类别概括本次保留的公开证据,而不是覆盖市场上的每个 SKU。目标是说明哪类替代方案最能匹配买方关切,而不是暗示同一类别里的能力完全相同。

[CP011, CP014, CP017, CP020, CP022, CP023]

3.3 定价、分销与转换成本

定价透明度是 Bose 最明显落后于公开基准的地方之一。Bose 的产品和 SDK 界面展示硬件类别和工具,但不展示标价、消耗定价、最低合同额或任何已披露的付费客户单位经济性。相比之下,IBM 发布按分钟计费的方案,AWS Braket 解释 shot、task 和 reservation 计费,Azure Quantum 则展示 IonQ、Quantinuum、Rigetti 和 Pasqal 的合作伙伴专属方案。Quandela 也没有完整发布一张简单价目卡,但至少宣传灵活定价、预约服务和活跃云端使用。这种不对称很重要,因为买方不会只按架构做量子决策;他们比较的是访问模式、预算科目、采购摩擦、集成路径和可逆性。多平台并用越来越正常。买方可以用 AWS 或 Azure 测试多种模态,和 IBM 或 D-Wave 使用更成熟的托管访问,也可以停留在 NVIDIA 或 LightSolver 等替代栈上,同时继续评估量子。因此,转换成本看起来是中等,而不是绝对。只有当团队投入特定工作流工具、主权或本地部署,或长期企业项目时,转换成本才会升高。Bose 仍可能在中国胜出,因为渠道信任和本地对齐更重要;但离开这一语境后,不透明定价和较窄的公开分销证明会削弱锁定能力。[CP004, CP011, CP014, CP015, CP016, CP017]

定价 / 打包对比
方案公开定价信号计量单位 / 合同模式包含能力未知项 / 限制说明影响
Bose Quantum 硬件 + SDK保留的 Bose 产品或 SDK 页面未找到公开标价未知;可能采用报价制硬件和服务合同专用光子硬件、经由 China Mobile 的云端触达、Kaiwu SDK无公开单位定价、最低合同额或付费客户转化数据外部买方更难对标总成本或采购速度
IBM Quantum Open / PAYG / Flex / Premium / On-Prem 套餐免费 Open Plan;PAYG 每分钟 $96;Flex 起步为 400 分钟/年、每分钟 $72;Premium 起步为 5200 分钟/年、每分钟 $48;本地部署按报价免费试用、按秒计费、年度预购、年度订阅或专用系统托管运行时访问、平台工具、支持和可选网络会员资格达到有意义规模仍需要高价支出和合同IBM 为企业级量子打包树立透明度标杆
D-Wave Leap公开服务打包、可用性和访问模式;保留页面无简单分钟费率表通过云服务访问 QPU 和混合求解器实时访问、生产级可靠性和优化工作流保留页面上的定价细节不如 IBM 或 Azure 文档明确由于服务和可用性主张公开,商业评估仍比 Bose 容易
Amazon Braket按 shot 加按任务或按小时预约的定价公开覆盖多种 QPU 和模拟器的用量制经纪模式通过 Braket Direct 提供一致开发工具、混合工作流和专用预约具体按 shot 价格因服务商和硬件类型而异降低在厂商和技术路线之间切换实验的成本
Azure Quantum marketplace 市场市场和文档披露伙伴自定义套餐与定价结构在同一经纪入口内提供按服务商划分的订阅、按量付费、token 或运行时计费访问 IonQ、Quantinuum、Rigetti 和 Pasqal 产品实际价格取决于服务商、workspace 和 Azure 基础设施费用形成并排对标,而 Bose 尚未公开提供同等透明度
Quandela Cloud灵活定价选项公开,但保留页面没有简单通用价目表从小实验到企业使用的预约服务和平台访问QPU 访问、GPU 增强仿真、SDK/API 和伙伴托管选项已审公开页面未保留具体费率表访问模式比 Bose 更透明,但标准化程度不如 IBM 或 Azure
通过 Azure 使用 QuantinuumStandard 计划:每月 $125,000;Premium 计划:每月 $175,000月度订阅,按 HQC/eHQC 统计用量,并有按量付费选项通过 Azure Quantum 访问 H2 硬件和模拟器需支付基础设施费用,工作负载成本仍取决于操作次数展示既有厂商如何公开变现高端企业访问,而不是完全靠不透明报价

各行对比买方实际能查看的公开套餐和采购界面。有些方案披露精确费率,有些只披露结构或灵活性;这种差异本身就具有竞争意义。

[CP004, CP011, CP014, CP015, CP017, CP020]

3.4 壁垒耐久性、信任姿态与反向证据

Bose 仍有真实资产。其官方产品页支持室温运行、可编程全连接、面向优化的性能主张,以及与 China Mobile 云生态集成。USCC 和 MIT 也支持一个判断:中国国家协调的量子建设,可以帮助本土公司获得政策关注、人才和早期基础设施伙伴。但这些政策动态也有两面性。MIT 认为,由于 QPU 多样性,美国在商业化上仍处于领先;USCC 则用国家战略视角描述中国量子崛起,这可能让跨境信任更复杂。公开证据也不支持对市场成熟度过度自信。QED-C 称整体市场仍只有 $1.9B,供应链脆弱、人才不足;D-Wave 备案文件显示,即便是行业内更商业化的厂商之一,仍担心销售周期加速和利润率压力。Physics World 又给出更尖锐的反向信号:Baidu 和 Alibaba 都退出了直接量子硬件研究。结论是,Bose 的壁垒更像有条件成立,而不是默认耐久。它可能在重视中国相关部署的本土战略客户中最强,但容易受到云中介比较、既有厂商生态力量、替代加速器,以及光子主张比客户信任更容易商品化的可能性冲击。[CP018, CP019, CP029, CP030, CP031, CP032]

护城河耐久性 / 竞争风险登记表
护城河主张威胁严重性缓释措施 / 尽调问题
室温光子硬件足以让 Bose 差异化ORCA 和 Quandela 也在营销室温或轻数据中心光子部署,Xanadu/PsiQuantum 仍保持光子规模化叙事要求证明买方选择 Bose 不只是因为技术路线,例如赢单 / 输单记录、续约行为或垂直领域特定性能数据
China Mobile 集成创造持久渠道锁定AWS、Azure、IBM 和 D-Wave 在其他市场把云中介实验和多厂商并用变成常态要求 Bose 按国内战略客户与云试用用户拆分管线,并询问是否已有非中国云渠道上线
不透明定价有助于守住利润率当 IBM、Azure 和 AWS 发布清晰访问结构时,不透明定价反而会拖慢采购询问实际合同类型、最低交易规模,以及硬件销售、云访问和联合开发工作的定价是否不同
本土政策契合是纯粹的信任优势USCC 和 MIT 指出,这种在中国有帮助的国家关联姿态,也会让海外信任、出口和采购认知复杂化要求出口管制评审、海外合规文件,以及中国以外任何公共部门采购限制
早期市场不成熟能保护领先者免受竞争QED-C 和 D-Wave 显示市场确有牵引力,但供应链仍脆弱、人才短缺、销售周期长,所有玩家都可能受罚压测烧钱速度、制造韧性和从试点到付费生产的转化,不要假设品类增长会消化执行风险
优化工作负载天然属于量子厂商NVIDIA 和 LightSolver 说明,AI 超级计算机和模拟光学加速器不需要完整量子栈,也能吃到同一预算线在认定护城河前,把每个 Bose 用例映射到真实的经典、模拟和退火替代方案
光子同业还太早,商业上无关紧要Quandela 已展示活跃云用户和交付时间线,ORCA 和 PsiQuantum 也在搭建企业应用叙事按季度跟踪同业客户披露、伙伴数量和部署路径,检验 Bose 是领先者,还是只是拥挤光子队列中的一员

严重性评级是基于保留公开证据的分析师判断。登记表关注的是:当买方比较访问模式、信任界面和替代方案,而不只看量子比特标题时,Bose 能否守住差异化。

[CP029, CP030, CP031, CP032, CP033, CP034]
FP003: 护城河 / 准备度 KPI

紧凑的公开信号快照,显示市场围绕 Bose 及其替代方案披露了多少买方可评估的准备度。

指标混合了公开生态数量、披露收入和可见访问触点指标。它们不是标准化财务 KPI,而是基于公开来源揭示内容的买方可评估准备度视角。

[CP011, CP016, CP018, CP024, CP025, CP038]
Chapter 04

04财务

4.1 收入模式与定价界面

Bose 的商业界面比一份简单硬件手册更宽。公司公开展示的栈,从竞赛和开发者社区开始,经由 Kaiwu SDK 工具和云端验证,最终落到实体量子计算机部署。China Mobile 的 Hengshan 平台提供了一个特别有用的线索:注册后,用户可以在控制台订购真机算力服务,这让云端或按任务计费的收入路径变得可见,尽管 Bose 没有公布费率表。与此同时,Bose 自身页面没有展示硬件标价、按 shot 或按分钟计费标准,也没有最低合同信息。这迫使投资人用 IBM、AWS Braket 和 Azure Quantum 的透明同业产品来校准潜在买方预期。因此,证据支持一种混合收入模式——大报价硬件、使用驱动的云端访问、咨询式垂直解决方案工作——但无法清晰看见收入结构、实际定价、折扣或确认政策。公开定价不透明是真正的尽调问题,因为同业已经让量子访问采购清晰得多。[CI001, CI003, CI004, CI005, CI008, CI009]

收入流表
收入流机制单位当前价值 / 状态质量信号尽调问题
专用量子计算机销售定制硬件系统销售和部署按系统 / 项目产品公开;有已交付客户报道;价格未披露客单价高,但可能波动大且受验收驱动平均售价、交付验收条款和硬件收入确认
云端真机访问通过云控制台下单的任务式量子计算按任务 / 计算订单公开 beta 和下单流程可见;费率表未披露最有希望形成经常性用量收入,但没有转化或留存数据付费云用户、单任务价格和续约行为
Kaiwu SDK 与开发者工具与 Bose 硬件和云绑定的免费或捆绑软件入口工具包 / 开发者席位文档和 GitHub 公开;直接真机调用有记录漏斗入口强,但变现可能间接SDK 访问是永久免费、捆绑,还是企业授权
垂直解决方案与集成工作横跨 AI、生物医药、能源、金融和智慧城市用例的咨询式项目按项目 / 试点 / 顾问费多个解决方案页面有咨询 CTA;无合同金额能制造战略证明点,但人力密集服务构成、毛利率和各垂直领域可重复性
社区认证与开发者计划免费机器配额、徽章和竞赛用于刺激采用配额 / 促销额度公开可见每年 10 个、每月 5 个 550 量子比特配额有用的获客杠杆,但尚未证明可变现配额到付费的转化,以及服务社区使用的成本

Bose 暴露了硬件、云、SDK 和解决方案入口,但公开来源未披露实际收入结构、合同金额或各收入流的确认政策。

[CI001, CI003, CI004, CI005, CI006, CI013]
定价 / 变现表
方案单位公开价格 / 替代指标折扣或未知项合同模式来源
Bose 硬件系统按系统无公开标价按报价的企业销售官方产品页面
Bose 云端真机服务按任务 / 算力订单计费未公开价目表或最低消费注册后在云控制台下单China Mobile Hengshan 文章
Bose 开发者配额机器配额每年 10 次 + 每月 5 次 550-qubit 配额促销性质,不是实际成交价格社区认证与奖励Kaiwu 社区门户
IBM Quantum 按量付费按 QPU 分钟计费96年费方案费率更低免费 / 按量付费 / 弹性 / 高级 / 本地部署IBM 官方定价
AWS Braket按 shot + 按任务计费,或按小时预留随 QPU 不同按需或预留访问AWS 官方定价
Azure Quantum(IonQ 示例)按程序执行 / gate-shot 计费97.5关闭误差缓解后最低费用降至 12.4166服务商定义的 PAYG 或订阅Microsoft Learn 定价
D-Wave Leap询价 / 服务合同抓取页面未公布商业定价托管云访问,定位接近 SLAD-Wave 云页面

同业价格只能作为可比采购代理,不能代表 Bose 实际成交价。Bose 在硬件和生产云两个公开界面上仍未披露价格。

[CI006, CI008, CI009, CI010, CI011, CI012]
FI001: 收入模型桥

公开材料显示从开发者到云、再到硬件的桥接路径,但没有披露每一步的转化率或抽成率。

该流程只反映已发布漏斗和服务触点。Bose 未披露任何节点的转化率、货币化使用占比或收入权重。

[CI003, CI004, CI005, CI006, CI013, CI014]

4.2 市场进入动作与销售效率代理指标

Bose 的公开 GTM 动作更像分层漏斗,而不是纯自上而下的资本设备销售。公司通过竞赛、社区参与、开放文档和 GitHub 示例吸引开发者,再用云端真机访问和额度激励降低试用摩擦。与此同时,三个垂直解决方案页面都把潜在客户导向咨询,这意味着有意义的变现很可能来自企业项目、试点或谈判合同,而不是标准自助结账。现有公开证据足以展示渠道形状,但不足以量化渠道经济性。我们没有看到披露的 CAC、回收期、NRR、胜率、市场转化率,或与 China Mobile 的收入分成条款。这意味着,可见的开发者和合作伙伴界面更适合作为管道代理指标,而不是收入质量证明。投资人应把社区、云端 beta 和咨询 CTA 视为严肃商业包装的证据,而不是 Bose 已经解决销售效率的证据。[CI003, CI004, CI006, CI007, CI025, CI026]

4.3 成本结构、单位经济性输入与资本强度

公开证据指向一家承担真实硬件和服务义务的公司。登记文件显示制造和云设备活动,关于页面则指向多个实验室和一座深圳工厂。产品材料补上了财务上重要的运营细节:日可用性目标、MTBF、MTTR、智能自检和功耗。这些指标意味着质保、现场服务、可用性工程和能源成本——正是让这门生意在结构上不同于纯软件公司的成本项。相比低温系统,Bose 的室温光子定位应当降低冷却和部署负担,但公司没有公布毛利率或服务利润率,因此这一好处无法转化为对单位经济性的信心。资本强度最强的独立确认,来自融资用途:芯片工艺能力、中试线建设、工厂扩张和生态建设。这是靠制造规模推进商业化,不是靠轻量软件铺开;这一区别是承销判断的核心。[CI016, CI017, CI018, CI019, CI020, CI021]

单位经济性表
指标公开值 / null置信度为什么重要尽调要求
收入 / ARRNone没有收入和 ARR,就无法检验商业规模或经常性质量提供经审计收入、ARR 以及按收入流拆分的数据
毛利率None毛利率是检验室温光子方案是否真正带来经济优势的核心提供硬件、云和服务的毛利率
CAC / 回本周期None没有获客成本和回本周期,无法判断开发者漏斗经济性按渠道提供 CAC、回本周期和销售周期数据
净收入留存None如果云和 SDK 要形成经常性收入,留存就是关键按队列提供 NRR 和 GRR
云到硬件转化None免费配额和云试用的价值,取决于能否转化为付费合同提供从社区和云到付费部署的漏斗转化数据
日服务可用时长(产品系列)6 到 16+ 小时/天可用时长直接影响利用率和支持负担按型号提供实际部署利用率和停机时间
功耗(已披露较大型系统)最高 1,200W 到 1,500W功耗会影响服务成本和部署占地提供现场平均功耗和站点要求
可靠性 / 服务负担已披露处 MTBF 500 到 1,000 小时;MTTR ≤72 小时可靠性会影响现场服务人员配置和保修经济性提供实际故障率、保修成本和备件政策
参保员工96员工数可粗略代理固定运营成本规模按职能提供当前员工数和月度薪酬负担

公开单位经济性数字只剩运行技术代理指标,如可用时长、功耗、可靠性和员工数;实际收入和毛利率指标均未披露。

[CI019, CI020, CI021, CI028, CI029, CI036]
FI002: 单位经济性桥

公开单位经济性叙事基本是定性的:室温架构和自动化应该有帮助,但毛利率仍未披露。

之所以采用定性桥接,是因为 Bose 未披露服务成本、保修费用、利用率或已实现毛利率。

[CI019, CI020, CI021, CI043]
FI004: 资本强度 / 现金流地图

公开证据指向制造、多地研发和服务交付的资本强度,但流动性披露仍缺失。

矩阵区分了公开证据已经支持的内容,以及没有内部数据就无法在财务上判断的内容。

[CI016, CI017, CI018, CI022, CI033, CI042]

4.4 公开牵引代理指标与私有指标缺口

Bose 比许多深科技创业公司拥有更多公开商业化证明,但大多仍是代理证据。独立报道称深圳工厂已在 2025 年末投产,系统已经交付给 China Mobile 和国家超级计算成都中心等具名机构。China Mobile 文章还展示了一项向政府、企业和科研用户开放的云服务。在较软性的牵引端,Bose 声称拥有数千人社区,而 GitHub 和 Kaiwu 文档证明有真实的开发者上手路径。即便如此,真正决定性的数字指标仍然缺席:没有公开收入、ARR、毛利率、回收期、NRR、积压订单或客户集中度。结果是一个常见的量子投资问题:公司看起来商业活动很活跃,但公开数据无法说明这些活动是否转化为高质量经常性收入。我们可以框定部分技术成本输入,却无法看见足以支撑投资的实际经济性。[CI023, CI024, CI025, CI026, CI027, CI028]

公开财务缺口表
缺失指标对分析的影响当前公开代理指标为什么代理指标不足精确尽调路径
按收入流拆分的收入 / ARR无法检验组合质量或集中度已交付客户和公开云公测商业活动不等于已确认的经常性收入要求提供按硬件、云和服务拆分的经审计收入桥
实际成交价格和折扣无法估算毛利率或销售效率来自 IBM/AWS/Azure 的同业价目表;Bose 价格缺失竞品资费不披露 Bose ASP、折扣或合同底价要求提供价目表、交易审批折扣区间和前 20 大合同
按业务线拆分的毛利率无法判断室温设计是否在经济性上更优功耗、可用时长、MTBF 和自动化主张技术输入无法披露服务成本或保修计提要求提供硬件、云和服务的毛利率及队列趋势
社区到付费转化无法把免费配额作为获客引擎估值社区奖励和 GitHub 活动使用激励可能带来互动,却不一定变现要求提供从社区注册到付费算力再到硬件销售的漏斗数据
利用率 / 装机基数生产率无法检验工厂或服务杠杆工厂投产和对具名机构的部署具名部署不披露已售机器小时或装机占用率要求提供已部署系统利用率、积压订单和维护负载
现金 / 消耗 / 续航期无法评估下一轮融资时点融资新闻和注册资本已融资金和注册资本不是流动性报表要求提供现金余额、月度现金消耗、资本开支计划和现金续航期预测
债务 / 租赁 / 项目融资义务无法评估隐藏固定费用或约束条款风险未发现公开披露沉默不等于零义务要求提供债务明细、设备租赁和补助或补贴条件
客户集中度和留存无法评估收入耐久性具名机构交付和合作伙伴文章标杆客户不显示重复支出或续约质量要求提供客户集中度、流失、续约和按队列拆分的 NRR

这里每一个缺失指标都对承销判断重要。公开牵引存在,但把牵引转成收入质量所需的私有运营数据并不存在。

[CI024, CI026, CI028, CI036, CI040, CI042]
FI003: 公开成本-产能输入区间

没有公开收入或利润率数据时,唯一有边界的量化输入来自已披露产品规格中的运营产能代理指标。

区间反映运营输入,不是财务输出。Bose 未披露公开收入、burn、runway 或利润率区间。

[CI020, CI021, CI029]

4.5 资本充足性、融资依赖与结论

远期资本充足性是 Bose 的关键财务问题,公开证据只能部分回答。我们知道的是,公司反复融资,并把资金用于硬件研发、芯片工艺能力、工厂建设和生态扩张。仅 2026 年 B 轮就资助了芯片中试线和工厂扩产;登记数据还显示,2026 年 6 月公司改制为股份公司,注册资本增至 RMB 3.6 亿。我们不知道的是,资产负债表能否在不继续融资的情况下支撑下一阶段:公开来源没有披露现金、烧钱速度、跑道期、债务工具或项目融资承诺。D-Wave 的公开文件在这里是有用的行业基准:即便更商业化的量子玩家,相对于收入仍需要非常大的现金头寸。因此,Bose 的公开案例支持“商业化认真,但还不能靠公开信息承销”。正确的尽调姿态,是索要私有运营数据,而不是只从融资头条或工厂里程碑外推信心。[CI030, CI031, CI032, CI033, CI034, CI035]

资本充足性表
资本项目公开值 / 状态来源视角支撑什么剩余缺口
注册资本2026 年 6 月增资后 RMB360 millionQCC 登记显示公司完成资本重整和组织形态升级不是账上现金,也不披露现金续航期
实缴资本RMB17.98 millionQCC + Aiqicha 登记显示法定实缴资本落后于注册资本不披露当前不受限现金
2026 年 Series B 轮CNY1 billionYicai / TQI / QCR试点芯片线、工厂扩建、攻克技术瓶颈、量子 + AI 生态融资后现金余额、现金消耗和资金投放节奏未公开
2025 年 Series A++ 轮数亿元人民币36Kr研发、芯片工艺能力、深圳工厂建设 / 运营、生态建设确切金额和剩余流动性未公开
2023 年融资轮>CNY100 millionYicai支持早期商业化,并绑定战略投资人未公开融资后现金或里程碑约束条款数据
工厂状态深圳工厂于 2025 年 11 月投产Yicai / TQI把资本转成制造产能,也带来库存风险敞口未公开资本开支、利用率或营运资本数据
现金 / 消耗 / 续航期无公开披露决定公司是否很快需要下一轮融资要求提供月度现金消耗、现金余额、现金续航期和资本开支计划
债务 / 项目融资义务无公开披露可能实质改变稀释风险和约束条款压力要求提供债务明细、设备租赁和任何项目融资

本表只用融资事实解释前瞻资本充足性。历史融资轮次在第 1 章;这里的关键结论是,硬件规模化让公司持续依赖融资。

[CI016, CI022, CI030, CI031, CI032, CI033]

4.6 证据要点

Chapter 05

05产品与技术

5.1 产品定义与模块图

Bose 的公开产品界面不止一台单用途机器。审阅过的官方页面显示,一套栈先从专用 100、550 和 1000 量子比特光子系统开始,再叠加云端访问、Kaiwu SDK 工具、面向 PyTorch 的插件、开发者激励和垂直解决方案模板。按工作流看,客户购买的不是抽象的“量子”,而是一条路径:表达优化或能量型学习问题,把问题路由进 Bose 的相干光子系统,并在 AI、生物医药和城市级场景中复用这条路径。因此,最强的产品定义信号是架构宽度,而不是无所不能。Bose 明确表示,其系统专门围绕 Ising 或 QUBO 式负载,软件栈则用来让现有 Python 用户保持生产力。这形成了连贯的产品故事,但也意味着差异化取决于这些相互连接的模块在生产中有多好用,而不只取决于量子比特头条。[CE001, CE002, CE003, CE004, CE016, CE017]

产品模块 / 资产矩阵
模块 / 资产主要用户公开角色观察到的成熟度关键差异化尽调缺口
SPQC-100 / 550 / 1000 硬件科研、企业、战略买家专用相干光子优化硬件公开出货 / 有文档的产品系列室温运行、全连接、多种机器规模未公开按 SKU 拆分的验收测试结果或出货台数
量子云平台 / Quantum Cloud Hub开发者和云用户通过托管云访问购买、排队并取回真机任务公开界面在线合作伙伴云触达,加上硬件池和故障切换叙事未公开 SLA、状态页或经审计可用时长历史
Kaiwu SDKPython 开发者和研究人员建模 QUBO 或 Ising 问题,并通过 Bose 工具提交负载成熟文档界面从问题建模直连真机带凭证的 wheel 分发比标准 pip-only 流程更重
Kaiwu-PyTorch-PluginAI 和应用研究团队通过 PyTorch 暴露 Boltzmann-machine 和 QDiffusion 工作流早期但具体的开发者层PyTorch 原生的量子采样叙事,而非通用 API 包装器未公开采用指标、包注册表统计或 GitHub 以外的发布节奏
Kaiwu 社区 / 示例仓库学生、研究人员、开发者示例、贡献入口、配额和认证漏斗活跃引导层动手示例和补贴的 550-qubit 使用量鼓励实验从配额使用到付费生产的转化未披露
垂直解决方案(AI、生物医药、城市)领域团队和企业赞助方把同一套优化栈改写成面向特定工作流的落地页商业包装可见场景框架降低买家从原始量子原语理解产品的负担未公开深度案例研究,证明各垂直行业可重复的生产 ROI

各行概括本章审阅的公开产品界面;它们描述 Bose 对外暴露的内容,而不是每个内部模块或控制台功能。

[CE001, CE002, CE003, CE008, CE016, CE017]
工作流 / 使用场景表
用户任务当前工作流Bose 方案路径可衡量或声称的收益观察到的限制
通用组合优化在 Python 中建模 QUBO 或 Ising 问题,再用经典方法或专用硬件求解Kaiwu SDK 加云控制台或 CIMOptimizer 路径同一问题表述可从本地建模迁移到真机执行收益更像工作流便利性,而非独立基准优势
开发者在真机上实验加入社区、赚取配额,并在购买硬件前尝试小型负载Kaiwu 社区测评加 550-qubit 配额降低新开发者试用摩擦配额激励不是付费留存证据
AI 能量模型训练在 PyTorch 中用 Kaiwu 后端训练 RBM、BM、QVAE 或 QDiffusion 工作流Kaiwu SDK 之上的 Kaiwu-PyTorch-Plugin让量子层更接近熟悉的 ML 工具未公开生产客户案例量化插件带来的模型质量提升
生物医药或材料发现工作流把序列、对接或设计任务映射为量子 + AI 优化问题方案页面加插件 / SDK 栈公开叙事强调更快搜索或更好探索大空间公开页面仍是解决方案营销,不是端到端验证的客户研究
智慧城市优化工作流把公交路线、能源调度、欺诈或波束成形转成优化任务城市方案页面加云端或直接 SDK 执行让产品锚定优化密集型运营问题公开证据不显示采购条款、SLA 义务或长期生产经济性

工作流表停留在已有文档用户旅程和公开方案页面层面;不假设未披露的后处理或编排层。

[CE014, CE015, CE018, CE020, CE021, CE022]
FE002: 客户工作流 / 运营流

公开资料可见的路径:开发者定义问题之后,如何拿到 Bose 真机结果。

[CE010, CE014, CE015, CE018, CE020, CE021]

5.2 架构、部署与可靠性

对一家私营量子创业公司来说,公开运营模型异常具体。Kaiwu 文档展示的开发者路径,从 Python 中的 QUBO 或 Ising 建模开始,经由求解器和优化器模块,再通过在云控制台上传矩阵或从代码调用 CIMOptimizer 触达真机。Bose 云页面随后补上编排层:统一硬件池、合作伙伴云分发、动态负载均衡和故障切换。硬件端,Bose 产品页强调室温相干光子运行、全连接、光纤温控和日益自动化的控制系统。这些并不等于独立证明,但足够具体,能看出公司认为运营价值来自哪里:减少低温负担、加强控制器集成,并围绕可用性提高自动化。技术风险在于,这些主张大多仍由公司自己撰写,因此可靠性证据作为架构叙事更强,作为第三方服务保证则弱得多。[CE004, CE005, CE006, CE007, CE008, CE009]

技术 / 运行架构表
层 / 组件在栈中的角色关键依赖观察到的风险为什么重要
问题建模层(QUBO / Ising)把用户工作流转成可优化矩阵Kaiwu SDK 原语和求解器逻辑开发者必须把问题塞进 Bose 接受的表述这是入口,决定负载到底能不能被处理
求解器 / 优化器层把模型送入经典、模拟或 CIM 支持的执行路径kaiwu solver、classical、cim、sampler、common 模块API 或求解器演进可能打断旧代码路径Bose 在这一层让非量子专家用上专用硬件
云端提交与队列管理上传矩阵、配置任务、排队运行并取回结果云控制台、账户凭证、任务编排不透明的服务行为或队列延迟可能伤害用户信任这是许多非硬件买家的公开生产界面
Quantum Cloud Hub 资源池把多台光子机器虚拟成一个托管资源层硬件集群可用性和调度器健康度故障切换和平衡目前只来自公司披露资源池化是云页面上最清楚可见的运营护城河信号
机器控制系统稳定运行模式、智能控制、诊断和环境监测L2 控制栈、传感器和自动化逻辑缺少关于服务结果的独立证据控制器质量看起来是可用性和支持成本的核心
光子计算核心和支撑模块提供室温相干光子优化硬件激光器、光路、光纤热控和全连接硬件性能仍高度依赖 Bose 自己的描述这是每个云或 SDK 工作流最终依赖的物理层

各行强调公开架构及其依赖,而非推测内部图纸。风险聚焦会破坏外部文档工作流的环节。

[CE004, CE005, CE009, CE010, CE011, CE012]
FE001: 产品架构图

从开发者工作流到光子硬件运营的六层公开架构。

[CE003, CE008, CE009, CE011, CE014, CE017]
FE003: 关键依赖图

连接 Bose 软件、云、制造与硬件交付的关键公开依赖。

[CE008, CE009, CE012, CE028, CE029, CE030]

5.3 差异化、研究谱系与制造

Bose 的差异化案例有三层。第一是模态选择:室温光子相干 Ising 硬件,瞄准优化式负载,而不是通用量子计算。第二是工具选择:面向 PyTorch、由示例驱动的界面,意在让开发者从熟悉工作流迁移到量子支持的采样或优化。第三是制造选择:比许多同业更早从实验室原型转向深圳工厂和芯片中试线。围绕相干 Ising 机和脉冲神经网络增强的研究谱系,有助于让架构更容易理解;但公开 IP 故事仍比公开工作流故事薄得多。同样,制造故事真实到足以重要——多个独立来源提到工厂、芯片线和质量控制功能——但仍缺少良率、吞吐量或出货单元证据。结果是,当前产品壁垒看起来是运营和工程牵引,还没有通过广泛独立基准或披露的单位经济性获得制度化证明。[CE017, CE018, CE024, CE025, CE026, CE027]

路线图 / 发布 / 开发阶段表
日期 / 阶段里程碑或发布公开状态含义来源
2022文档描述 Kaiwu SDK 引用和软件包历史版本,已发布说明在较新的云和插件推进之前,Bose 已有具名开发者工具包Kaiwu SDK 介绍 / 引用区块
v1.1.0 至 v1.1.1新增直接求解器抽象、从模型到真机的教程、CIMOptimizer 和 PrecisionReducer已在文档更新日志发布公开工具从建模辅助走向机器提交工作流Kaiwu 更新日志
2025Shenzhen 光量子计算机工厂开工,设模块、制造、质控 / 测试等部门建设 / 部署阶段制造正从原型叙事走向工业工程SCIO / Xinhua
2025-2026大额融资支持工厂运营和芯片中试线扩产推进中制造就绪度已进入产品论证,不只是资本开支Yicai / Quantum Computing Report
当前旗舰代Shanhai 1000 具备三种模式、L2 控制和更长服务时长当前商业旗舰说明短期差异化落在专用系统的运营封装上Shanhai 1000 页面 / 规格
2026-2030 公开路线图基于 Transformer 的调参、混沌幅度控制、多核并行和 CQ-H 光子芯片愿景式 / 高层级公开目标很大,但里程碑颗粒度低Bose 官网路线图

路线图表把已发布软件和工厂里程碑,与愿景式路线图拆开。后续里程碑只是公开方向信号,不是可用于投资判断的承诺。

[CE013, CE029, CE030, CE031, CE032, CE033]
FE004: 产品成熟度 / 能力图

分析师矩阵:公开界面哪些部分看起来成熟,哪些仍缺文档。

评级概括了本轮保留的公开证据,并非 Bose 官方评分。成熟度更高不等于已获独立认证。

[CE013, CE017, CE029, CE033, CE034, CE037]

5.4 信任、安全、合规与技术风险

公开信任界面明显弱于公开产品界面。Bose 确实发布硬件可靠性目标,提到 China Academy of Information and Communications Technology 验证,并在云端界面宣传企业级安全和数据隔离。但本章审阅的材料没有找到通常会让买方更容易承销这些主张的信任资料:没有保留下来的公开信任中心,没有明显的隐私或安全架构说明,没有公开证书页面,也没有可见的事故档案或状态历史。独立报道也提供了有用反向权重。Jiemian 记录的质疑认为,专用机器可能在商业上保持狭窄,且更快的经典硬件可能继续压缩付费意愿。这并不否定 Bose 的技术进展,但意味着投资人必须区分“有文档支撑的工作流成熟度”和“可信企业运营成熟度”。今天,前者可见;后者仍需要尽调资料包,而不是只读网页。[CE007, CE009, CE035, CE036, CE037, CE038]

信任 / 质量 / 合规表
控制或文档公开状态留存来源可见范围支撑什么缺口或注意点
硬件可靠性目标发布在产品规格页Shanhai 1000 为 16+ 小时/天、MTBF >=1,000 小时、MTTR <=72 小时表明 Bose 像运营商一样思考,而不只是实验室未留存独立现场服务或可用时长日志
CAICT 技术验证产品规格页声称可见一处技术验证提及若能坐实,提供一定第三方质量信号审阅页面未链接证书细节或测试范围
云池化和故障切换控制云页面声称24 台机器池、动态负载均衡、自动故障切换表明围绕容量和韧性有运营工具未公开 SLA 或事故档案验证生产表现
带凭证的平台访问和许可文档和社区材料可见平台登录、SDK 授权码、配额和任务提交控制说明 Bose 通过自有平台和凭证控制机器访问访问控制可见;数据治理和隐私控制不可见
公开认证和信任中心界面保留来源未找到IAF 证书查询可作为验证路径,但保留来源没有留下 Bose 专属的公开证书材料会影响企业采购和安全审查信任中心、隐私、SOC、ISO 和状态页材料仍披露不足

本表把 Bose 已实际披露的内容,与成熟买家仍需要的信任材料拆开。这里的缺口只反映公开来源可见度,不证明内部控制不存在。

[CE007, CE009, CE035, CE036, CE037, CE040]

5.5 证据要点

Chapter 06

06客户

6.1 客户分层与访问界面

Bose 现在更像一家分层的量子基础设施厂商,而不是单用途硬件实验室。官方云和解决方案页面反复指向生物医药、金融、AI、交通或城市运营、材料、能源和科研用户,同时也区分谁只是基于这套栈开发,谁能够实际购买算力或硬件。最强商业信号不是宽泛的企业 logo 墙,而是明确访问模式、任务定价、私有部署表述,以及一条从开源或文档界面进入付费算力的真机软件路径。即便如此,界面仍不均衡。最宽的漏斗顶部似乎是高校、开发者和科研机构,而企业级证明集中在较小一组云、超算、金融和领域应用引用上。这让分层变得清楚,但还不能证明这些细分市场拥有同等变现质量。[CU001, CU002, CU003, CU004, CU005, CU006]

客户分层表
客群买方 / 用户 / 付款方可见证据访问入口生产级证明质量备注
研究型高校和实验室研究用户 / PI 或实验室 / 科研经费或机构预算云页面列出 50+ 所高校和企业;高校仍占可见用户大块开源 Kaiwu、云端按次付费、竞赛、学术共享计划低-中漏斗顶部可见度强,但公开续约数据弱。
生物医药和健康研发科学家或平台团队 / 研究人员 / 实验室、药企或项目预算Jiemian 点名 Guangzhou National Laboratory、XtalPi 和 BGI;QbitAI 列出医院和高校合作云任务、模型训练工作流、协作式应用探索基础设施之外披露最充分的垂直领域,但大部分公开证据仍偏协作或工作流。
金融机构创新或优化团队 / 量化或数据团队 / 银行科技预算China Merchants Bank 采购中标;Ping An 分支机构实地调研;更早的伙伴名单包括 Ping An 和 Huaxia按任务调用真机服务和定制优化支持有具名证据,但长期扩张和重复支出未披露。
超算和公共算力中心中心运营方 / HPC 和研究用户 / 公共或机构资金Chengdu 超算部署和金融科技任务测试超算 + 量子一体化平台中-高这是最强的基础设施部署证据,但它可能仍偏探索,而非纯商业。
交通、城市和基础设施运营方运营团队 / 规划方 / 企业或市政预算官方城市页面和 Science and Technology Daily 点名 Shenzhen Metro解决方案项目和潜在私有化部署低-中具名证据弱于云、银行或超算。
开源开发者和学生开发者 / 学习者 / 暂无直接付款方GitHub 仓库、ReadTheDocs、Kaiwu 社区、MathorCup 讲座社区版、文档、竞赛和云登录生态广度可见,但这更像用法探索,不是付费生产。

分层表区分可见用户和可见付款方;许多保留来源描述的是工作流或协作,不是合同经济性。

[CU001, CU002, CU007, CU010, CU013, CU014]
客户增长 / 采用轨迹表
指标日期来源置信度含义缺失分母
China Mobile 公测启动Hengshan 光量子平台公测2023-12-01QbitAI伙伴云分发早于大多数 2026 年融资头条。启动时未公开付费用户数。
伙伴数量口径50+ 所高校和企业n.d.QBoson 云页面说明其在高校和企业两端广泛铺关系。未拆分活跃付款方、免费研究用户和沉默 logo。
云端调用量6800w+ 累计求解调用2025-10-15QbitAI这是量子平台的强活动信号。调用量不等于独立付费账户或经常性收入。
机构覆盖覆盖 900+ 家机构2025-10-15QbitAI指向全国性的教育或研究覆盖。机构覆盖不等于活跃生产部署。
开发者参与10,000+ 名参与开发者2025-10-15QbitAI说明开发者漏斗和反馈回路真实存在。未披露开发者向付费企业用户的转化。
云端机器规模China Mobile 平台上的 100 个计算量子比特2023-12-01QbitAI公有云访问绑定具体机器规模,不只是仿真营销。未公开利用率或占用率。
用量驱动定价入口每任务 128 RMB / 68 RMB 的列表价n.d.QBoson 云页面可见商业入口是交易型,试用门槛低。未披露折扣、合同或企业打包。

轨迹表混合了公司声称和第三方报道的采用信号;这些指标都未披露付费账户数、ARR 或续约行为。

[CU002, CU004, CU009, CU011, CU022, CU023]
FU001: 客户旅程图

Bose 如何把潜在客户从开发者认知推向云试用、具名机构部署,以及潜在的私有规模扩张。

阶段由保留的公开客户证据综合而来,不代表 Bose 的 CRM 阶段或内部漏斗定义。

[CU003, CU004, CU005, CU007, CU009, CU015]

6.2 具名客户证明与证据成熟度

保留下来的公开证明是真实的,但并非同一种证明。China Mobile 云分发、成都超算部署和 China Merchants Bank 采购中标,是最清楚的具名界面:第三方可见,负载也比通用解决方案页面更具体。围绕这些锚点,Bose 还披露了跨生物医药、公共部门或交通场景的更深但更模糊合作。关键尽调区分在于,具名引用究竟证明的是已部署生产环境、付费试点,还是更接近应用探索的合作。公开来源目前把这些类别压在一起。这足以说明 Bose 已经摆脱纯概念阶段,但不足以假设每个具名伙伴都是大型、可续约、能贡献收入的账户。[CU009, CU011, CU012, CU015, CU016, CU017]

具名客户证明表
客户 / 机构客群部署或用例生产 vs 试点结果 / 证据质量局限
China Mobile Cloud / Hengshan 平台伙伴云;政府 / 企业 / 研究用户公测光量子云服务,配 Kaiwu SDK 和按任务调用真机访问暗示可付费或可订阅的云访问;确切规模未披露中等证明:具名伙伴平台、上线日期、用户路径和任务工作流公开未披露该渠道的活跃账户数、留存或收入。
National Supercomputing Center Chengdu国家支持的算力中心550 量子比特部署,集成 100P 经典算力,并在金融科技工作负载上测试已部署并测试,但收入模式未公开中高证明:具名机构,加上 Xinhua 披露的部署细节可能仍更多是验证基础设施,而非可重复商业需求。
China Merchants Bank(Tiancheng AI)项目金融服务买方量子计算采购中标,包含按任务调用真机服务和定制优化支持试点或早期生产型项目;期限未披露中等证明:具名银行采购和服务范围公开未公开合同金额、续约节奏或后续支出。
生物医药生态(Guangzhou National Laboratory、XtalPi、BGI、医院)研究和应用生命科学用户QBM-VAE 及相关工作流,覆盖肽、小分子、单细胞、疫苗和组学任务从探索到试点,尚未明确披露为生产收入中等证明:具名合作者和具名技术工作流大多数证据偏协作或应用,而非商业。
China Mobile、XtalPi、Shenzhen Metro 深度合作组电信、生物技术、交通Science and Technology Daily 称 Bose 已在多个场景验证方案质量和效率试点、部署和探索的组合不清楚中低证明:权威媒体给出的具名关系未披露项目经济性或持续时间。

列举范围仅覆盖本章保留的具名客户或伙伴证明;不是完整客户名单。

[CU009, CU010, CU011, CU013, CU015, CU016]
使用界面 vs 商业证明表
界面已明确证明尚未证明收入可见度追加销售 / 扩张路径
开源仓库和文档开发者可以建模 QUBO 问题、学习工作流,并看到真机路径没有公开证据表明仓库参与会转化为付费账户未公开社区用户 -> 付费云任务 -> 企业项目。
Kaiwu 社区和竞赛Bose 主动培育开发者和学生漏斗未公开转化或留存 cohort未公开竞赛参与者 -> 开发者账户 -> 应用型工作负载。
China Mobile 云渠道第三方分发和可下单的按任务真机服务已经存在未披露经常性账户或收入数据低-中云试用 -> 重复工作负载 -> 私有化部署或更大的渠道交易。
超算中心部署真机部署和测试过的工作负载公开未公开合同经济性或续约证据技术验证 -> 更广泛的机构项目或政府支持扩张。
China Merchants Bank 项目具名金融买方和明确范围的优化服务公开未公开期限、TCV 或后续预算试点或首次采购 -> 更多工作流或其他银行部门。
生物医药合作具名伙伴和技术工作流公开未公开收入分成或合同结构研究合作 -> 生产级研发工作流或私有化部署。

本表刻意聚焦商业化,避免重复证明质量矩阵图。

[CU007, CU018, CU022, CU026, CU027, CU036]
FU003: 客户证明矩阵

不同具名客户界面的公开证明质量差异很大;部署可见,但留存可见度几乎处处偏弱。

单元格是基于保留来源的证据判断,不是供应商认证的客户成功指标。

[CU007, CU009, CU015, CU018, CU021, CU023]

6.3 耐久性、重复使用与仍未证明的部分

Bose 披露的使用活动已经足以说明人们在大规模接触平台,但公开耐久性记录仍然很薄。QbitAI 报道累计求解调用达到数千万次、覆盖数百家机构、开发者基数达五位数;云和文档界面也显示了明确的使用驱动工作流。尤其对新兴量子栈来说,这些都是有意义的采用信号。但在与续约、流失、NRR 或账户扩张数据绑定之前,它们仍只是漏斗上层和中层信号。最强的具名金融服务证明,是与 China Merchants Bank 的任务制合作;最强的公开云证明,是按次付费的合作伙伴平台。两者都更指向交易型使用,而不是长期订阅耐久性。除非 Bose 披露合同期限、重复支出或留存队列,否则外部投资人无法判断当前活动是有粘性,还是只是噪声很大。[CU004, CU007, CU008, CU018, CU019, CU022]

留存 / 重复使用 / 满意度表
指标值 / null客群置信度尽调追问
净收入留存所有付费客户索取按 cohort 和主要客群拆分的 NRR。
总收入留存所有付费客户索取 GRR 以及按年拆分的 logo 留存。
Logo 流失所有付费客户索取账户赢单、流失及流失原因。
合同续约率云、银行、超算和合作索取头部账户的续约时间表和续约结果。
合同期限具名银行和基础设施项目索取具名部署的合同起止和延期条款。
重复使用信号68M+ 累计求解调用;10,000+ 名开发者云和社区漏斗拆分重复付费工作负载与免费或探索性活动。
使用模式信号按任务定价和按任务提供的银行服务云和金融说明收入中一次性项目与经常性使用各占多少。

null 单元格不是漏译;它们反映保留来源缺少公开留存和续约披露。

[CU004, CU018, CU019, CU022, CU023, CU035]
FU002: 采用 / 部署漏斗

公开可见的推进路径:从广泛社区触达到更窄的付费或机构锚定部署界面。

该流程是定性的,因为公开来源披露的是各阶段示例,而不是每一阶段账户数全量。

[CU003, CU004, CU005, CU018, CU019, CU022]

6.4 扩张循环与集中风险

Bose 确实有可信的扩张循环:社区和竞赛项目可以导入云试用,合作伙伴云访问可以导入具名机构部署,定制领域项目可以导入私有硬件或更广解决方案工作。问题在于,今天的公开证据仍集中在国资相关超算、合作伙伴云、科研浓度高的生物医药工作,以及少量金融引用上。Jiemian 的报道是这里最清楚的警示来源:它称超算中心是低风险首批客户,这类部署可能更偏探索而不是收入牵引,并且整个行业的重复客户经济性仍不清楚。Tencent 创始人访谈加入第二个约束,即当硬科技回报期很长时,银行和保险公司仍然谨慎。结果是,客户基础可信到值得关注,但仍集中在机构友好渠道;这些渠道可能比验证持久、多元收入更快地验证技术。缺失的桥是收入结构透明度:保留下来的公开来源没有量化需求中有多少来自云订阅、超算项目、定制银行工作或合作浓度高的科研账户,因此头部客户和头部渠道依赖仍是开放的承销问题,在承销集中风险前仍需要私有尽调。[CU014, CU020, CU021, CU031, CU032, CU033]

扩张和集中度风险表
扩张驱动 / 风险集中度风险潜在影响尽调路径
伙伴云和任务定价入口中:试用容易带来大量用户,但不一定带来大量长期合同表面活跃度可能跑在留存收入前面。索取按渠道拆分的付费账户数、重复购买数和账户扩张历史。
超算中心首批客户模式高:基础设施验证可能依赖国家关联或资助支持的机构技术看似已被采用,但企业经济性可能还未跑通。索取来自超算、公共部门和国家关联客户的收入占比。
生物医药合作深度中:许多具名生命科学关系可能仍停在探索或项目制强科学信号可能跑在重复商业支出前面。索取探索伙伴转化为经常性收入客户的比例。
金融部门采购摩擦中高:银行和保险公司回收期门槛高,采购谨慎受监管行业放量可能慢于试点新闻暗示。索取银行客户的采购周期、预算负责人和扩张里程碑。
开发者社区漏斗中:如果云在生产中的价值不够强,大开发者基数也可能不付费社区触达可能夸大商业化成熟度。索取从社区注册到付费工作负载再到企业追加销售的转化漏斗。
经典方案替代压力中:如果经典优化和 AI 硬件持续进步,专用量子需求可能收窄通用量子准备好之前,续约和付费意愿可能先变弱。索取相对经典替代方案的赢单 / 输单分析,以及未续约或试点停滞的原因。

风险表强调客户组合和商业化路径集中度,而非技术风险;技术风险见其他章节。

[CU031, CU032, CU033, CU034, CU038, CU041]

6.5 证据要点

Chapter 07

07风险

7.1 法律、政策与合规栈

理解 Bose Quantum 的法律风险,最干净的切口不是已知诉讼,而是监管边界正在外扩。已保留的一手和法律来源显示,美国对外投资规则已明确覆盖与中国相关的量子活动;围绕先进计算出口的 BIS 指引,也可能触达总部在中国的实体,即便跨境结构比直接发货更复杂。中国还叠加了自己的两用物项出口管制,以及互联网信息和类电信服务的本地审批。也就是说,Bose Quantum 同时暴露在边境两侧的监管里:境外投资人和供应商可能遇到尽调或许可摩擦,境内云服务或服务活动仍取决于本地许可和合规运转。国家优先方向是双刃剑。政策支持可以加快补贴、客户和产业协同,但也提高了一个风险:早期增长更像政策塑形,而不是市场已经验证。公开证据仍留下一个关键缺口:已保留来源没有独立排清所有名称变体下的诉讼、制裁或执法暴露。[CR001, CR002, CR003, CR004, CR005, CR006]

监管 / 法律风险登记表
风险法域 / 规则为什么重要可能性严重性缓释成熟度剩余敞口尽调路径
跨境投资者限制美国对涉中国量子活动的对外投资规则可能压缩合格投资者和 JV 范围,并在交易进入定价前增加尽调摩擦。承销前,取得律师备忘录,梳理任何美国人士敞口、covered-foreign-person 状态和隔离结构。
高级计算出口管制摩擦面向 D:5 总部实体的 BIS 指引和 EAR 管制即便货物经第三国流转,也可能拖慢组件获取、工具流转或技术合作。要求提供硬件、软件和服务触点的出口分类矩阵,以及任何供应商许可证被拒或延迟的记录。
中国两用物项出口管制合规2024-12-01 生效的中国两用物项出口管制条例可能限制技术、数据和服务跨境流动,也给先进系统增加境内合规义务。审查内部出口管制政策、数据传输流程,以及外部合作或部署计划的法律顾问签批。
境内持牌服务暴露互联网信息服务和增值电信许可合规失误而非技术问题,也可能造成云端或服务中断,因为受监管业务已经进入商业触面。核验现有许可证、续期时间表、具名合规负责人,以及 2025 年以来的任何监管通知。
诉讼 / 制裁可见度不完整多个公司名称变体下的公开网页证据不完整公开检索没有命中,不等于法律清查已经完成;制裁、执法或知识产权争议尤其如此。交割前,要求按每个中英文名称变体做官方法院、执法、制裁和专利争议检索。

行按运行日已识别的最高严重度公开法律和监管暴露排序;这不是经法律顾问完整审阅的合规登记册。

[CR001, CR002, CR003, CR004, CR005, CR006]
FR001: 风险热力图

商业化、工厂执行与跨境合规相互强化之处,剩余敞口最高。

分数是从保留来源推导出的综合判断,用于相对排序,不代表精算概率。

[CR038, CR039, CR041, CR042]

7.2 工厂扩产与技术瓶颈

运营风险高,因为 Bose Quantum 正在把仍未成熟的架构推向工业化。独立报道和公司材料都指向同一件事:公司用新融资扩建深圳工厂、搭建量子芯片试验线、提升可靠性;但这些材料没有给出良率、在线率或质保数据,无法证明转产已经受控。学术和行业证据也提醒谨慎。coherent-Ising 与光子计算文献表明,混合模拟-数字控制、光子集成电路、探测器、开关和其他光学层不是可互换的细节;每一层都是独立瓶颈,都可能卡住可制造性或性能。更广的供应链研究又加了一层风险:本土化确有进展,但还没补齐,专用矿物和零部件链条仍容易受地缘政治扰动。简言之,Bose Quantum 现在背着典型的「先建工厂、后证需求」风险:硬件野心更大、供应链变量更多,而公开证据仍不足以证明放大后的产品可靠到能支撑持久利润率。[CR010, CR011, CR012, CR013, CR014, CR015]

运营 / 质量 / 安全风险登记表
风险失效模式证据信号可能性严重性缓释成熟度剩余暴露未解决缺口
工厂扩产快过良率爬坡试点线或深圳工厂的人员与支出扩张快于稳定产出质量。独立报道确认扩张计划,但未披露良率、质保或正常运行时间指标。没有公开的良率、质保或 SLA 证据。
可靠性仍偏叙事公司声称自动化和可靠性是目标,但运营历史尚未给出独立验证。QCR 和公司材料描述了可靠性目标;公开运营证据仍缺失。没有公开事故档案或第三方可靠性审计。
混合控制系统复杂性模数转换和反馈层限制速度、可维护性和可预测扩张。CIM 文献把混合控制描述为瓶颈,而非已解决的优势。没有系统级披露故障率、校准负担或维护人力。
光子组件瓶颈探测器、光源、开关和 PIC 都各自带来采购和可制造性风险。行业图谱显示,光子堆栈上有多个相互独立的卡点。未公开供应商图谱或合格二供清单。
矿物 / 材料暴露铌、镍、稀土和其他特种材料可能带来隐性供应冲击。独立供应链研究称,量子系统依赖集中度高且中国具备杠杆的材料。未按 BOM 层级披露哪些材料对 QBoson 架构关键。

运营行把扩产、可靠性、架构和供应链失效模式拆开,便于管理层逐项证明缓释,而不是用一套泛化风险回应带过。

[CR010, CR011, CR012, CR013, CR014, CR015]
FR002: 风险传导图

最危险的失效路径,是出口或供应摩擦拖慢工厂产出,削弱部署证据,并触发又一轮融资需求。

边表示承销论点中的因果方向,不是实测弹性。

[CR014, CR017, CR019, CR041, CR042, CR043]

7.3 合作伙伴、客户与模式脆弱性

Bose Quantum 的客户风险已经可信到必须重视,但公开面仍窄到令人担心。最强的公开证明来自合作伙伴云、超算部署和少数机构背书,而不是披露了大量续约的企业账户。Jiemian 的报道是关键反向视角:早期客户往往是超算中心,因为它们有公共资金、商业风险低;云端访问则通过 China Mobile、Alibaba Cloud 和 Huawei Cloud,以按次付费方式运行。这个分发模式可能帮助采用,但也意味着客户访问、认证和工作流控制有一部分留在合作伙伴基础设施里。披露出来的用户结构也偏集中,生物医药占比明显,大学仍在剩余部分中可见。财务模型风险直接来自这幅商业图景。收入、续约和大客户暴露都未披露,而公开量子同行即便披露更成熟,仍报告亏损、资本需求和客户集中。商业化因此是最大的剩余风险,而不是次要问题。[CR021, CR022, CR023, CR024, CR025, CR026]

合作伙伴 / 依赖风险登记表
依赖交易对手 / 技术栈角色集中度信号失效场景严重性缓释剩余暴露
云分发合作伙伴云渠道:China Mobile、Alibaba Cloud、Huawei Cloud客户访问、认证和按量付费交付公开访问路径集中在少数具名平台上。合作伙伴政策、定价或集成变化会压低访问量或利润率。拓宽直销和本地化部署路径;写清合同保护。
机构锚定客户超算中心和高校相关部署验证与早期需求可见案例偏向政策友好型机构,而非多元企业客户。探索性部署未能转化为持久商业账户。展示多年续约和非国有企业扩张。
生物医药需求集群生物医药用户以及具名生命科学合作使用集中度Jiemian 称,生物医药约占用户的 39%。单一垂直领域停滞,或证明其不愿大规模付费。披露按垂直领域划分的收入结构,以及向无关付费用例扩张的情况。
国资相关资本与政策生态大型国资背景投资者联合体和国家优先级叙事融资与生态准入2026 年融资中能看到政策同向资本。未来支持转向其他技术路线或采购优先项。扩大商业客户基数,并加深民间资本厚度。
专用组件和工具链光子供应商、PIC 制造、探测器和类 EDA 工具制造就绪度公开来源没有显示多元供应商图谱。单一卡点会推迟出货或抬高商品成本。认证二供,并在尽调中披露库存 / 交期纪律。

依赖行关注访问、收入和制造在哪些环节依赖外部平台或交易对手,而不是只靠 Bose Quantum 自身。

[CR021, CR022, CR023, CR024, CR025, CR026]
人员 / 执行风险登记表
角色 / 职能依赖或缺口证据信号可能性严重性缓释尽调路径
创始人与技术领导层扩张仍显得高度依赖创始人和核心团队公司叙事把创始人和技术领导层作为核心资产。复核制造、产品和销售中创始人以下的授权深度。
制造运营与 QA工厂和试点线执行不能只靠研发深度公开证据显示研发强度高,但 QA 人员配置细节有限。要求提供生产工程、质量、现场服务和质保负责人的组织图。
合规与法务运营跨境和境内受监管活动需要专门负责人风险边界已覆盖出口管制、电信式许可,以及数据 / 服务流程。索取具名合规负责人、外部法律顾问沟通节奏和升级日志。
法律形式变更期间的治理2026 年,董事会和人员变化与资本和法律结构变化同时发生登记更新显示人员和公司形式同步变化。复核董事会会议纪要、授权事项和转制后的控制环境。

执行行强调,下一阶段可能掉链子的地方不是科学,而是组织没有搭到足够厚。

[CR034, CR035, CR036, CR037]
FR003: 依赖图

可见商业化依赖一组紧密要素:合作伙伴云、机构锚点、政策资本和专用投入品。

该图展示依赖集中度,不展示所有权比例或合同规模。

[CR021, CR023, CR025, CR026, CR040, CR044]

7.4 缓释准备、监测与退出标准

Bose Quantum 确实有实质缓释因素:技术型创始团队、很高的研发人员占比、近期资本,以及足够公开证据证明它不是纸面公司。但这些缓释因素没有补上最大的投资判断缺口。公司仍需要拿出私下证据,覆盖出口管制分类、供应商集中度、工厂良率和在线率、收入结构、续约,以及客户集中度。因此,正确的投资人姿态是有条件推进,而不是悲观否决。如果管理层能证明试验线按计划推进、云或硬件在线率有记录、合规人员配置可信,且至少少数客户在政策相关锚点之外续约或扩容,风险堆栈就更可控。如果这些材料不存在,今天让 Bose Quantum 显得有野心的同一组事实——工厂扩产、国家相关动能和专用硬件——就会变成放慢甚至退出的理由。否决标准应盯住延期、集中度和融资依赖,而不只看量子比特标题。[CR034, CR035, CR036, CR037, CR038, CR039]

缓释与否决标准表
风险可监控触发器阈值 / 事件行动含义
对外投资 / 出口管制摩擦法律顾问提示涵盖交易或供应商许可延误出现任何禁止投资认定,或任何关键组件许可证延误超过 90 天在依赖跨境资本或组件假设前,暂停承销或重构交易。
工厂与良率风险试点线或工厂延期,且没有产出质量证明延期两个季度,或到下一轮融资时仍没有良率 / 正常运行时间 / 质保材料包下调扩张假设,把制造扩张视为资本消耗,而非护城河形成。
客户集中度风险收入结构仍未披露,或集中在少数机构 / 单一垂直领域最大垂直领域收入占比超过 40%,或前三大客户超过 60% 且无续约证据下调商业化信心,并要求集中度契约或里程碑式出资。
合作伙伴平台依赖云分发路径丧失或重新定价失去主要合作伙伴云渠道,或平台经济性发生重大不利变化重做增长模型,并要求提供直销或本地化替代路径的证据。
资本强度风险收入耐久性得到证明前,又进入下一轮融资周期本轮交割后资金续航少于 24 个月,或单位经济性没有改善路径在耐久性得到证明前,不要按规模化收入倍数给公司定价。
运营证明缺口未出现独立正常运行时间、可靠性或基准测试证据没有第三方运营材料包、没有事故历史,也没有能证明生产耐久性的客户推荐将业务视为尚未证明的基础设施,建议维持在继续研究 / 回避区间。

这些触发器旨在尽调或下一次刷新周期中可监控;每一项都把叙事风险转成具体决策阈值。

[CR038, CR041, CR042, CR043, CR044, CR045]
Chapter 08

08估值

8.1 建议、投资论点与反论点

Bose Quantum 的动能足够支持继续尽调,但披露不足以支持现在投资。可投论点很直接:公司显然不只是实验室项目,短时间内完成多轮融资,选择围绕光子专用量子系统搭建,而不是等待通用容错量子计算,并且有足够产品和部署证据,说明客户与国家相关伙伴认真看待它。反论点同样重要。公开来源仍未披露收入、利润率、轮次条款或投后估值;Jiemian 的反向报道说收入仍未披露,早期客户往往是超算中心,而不是广泛且续约密集的企业客户群。公开量子可比公司显示,投资人可以为巨大的期权价值支付高溢价,但这些公司披露更多财务信息,同时经济性仍波动很大。审慎结论是 **research-more**,信心为 **中等**,风险为 **高**;估值立场不是「明显有吸引力」,而是 **仅凭已披露事实仍未知**。[CV001, CV002, CV003, CV009, CV011, CV012]

建议摘要
维度取值当前落点原因
建议继续研究技术和融资证据足以保持跟进,但价格和财务披露不足以投入资本。
置信度公开证据方向一致,但重大承销字段仍未披露。
风险评级商业化、政策和融资不透明都很关键,而且彼此叠加,而不是相互分散。
估值立场unknown公开信息没有投后估值或条款清单;任何激进加价都需要私下收入和续约证据支撑。
决策含义数据室证据到位前,不担任领投或定价角色继续跟踪公司,但在承销轮次前必须看到硬尽调证据。

判断字段对价格敏感,因此刻意保守;保留下来的公开证据缺少估值条款和经审计的经营经济性。

[CV042, CV044, CV045, CV046, CV047]
正方 / 反方论点表
立场论点何种情况会改变判断
正方Bose Quantum 显然正在商业化真实的光子量子产品触面,而不只是发表研究。如果产品主张不再转化为部署或客户案例,证明面会迅速变弱。
正方2024-2026 年融资节奏显示,投资者反复有胃口,资本也足以建设制造能力。如果下一轮规模小、仅由内部人出资,或结构上惩罚性强,今天的融资叙事支撑力会下降。
正方早期销售、云端使用和专用定位,给出一条比通用量子路线图更早实现效用的可行路径。如果这些早期部署不能转化为重复付费项目,专用捷径的价值会下降。
反方收入、利润率和资金续航期仍未披露,投资者无法判断采用是真实需求,还是战略性试点活动。经审计收入、客户分群和毛利率证据会显著提高置信度。
反方公开融资文章披露了募资金额,但没有披露投后估值、证券类型或优先权条款。完整股权结构表和条款清单,可把估值立场从未知转为可分析。
反方跨境政策和出口管制不确定性提高了供应商和部分外国资本池的风险。可信的出口管制备忘录和供应商图谱会降低政策折价。

行把可投资优势与最可能改变建议和定价纪律的证据缺口拆开。

[CV001, CV002, CV003, CV005, CV009, CV010]
FV001: 建议逻辑

建议从真实技术与融资动能出发,落到尚未解决的财务和政策问题;这些问题卡住了定价。

流程是分析性而非统计性;它概括了建议背后的关键门槛逻辑。

[CV002, CV003, CV011, CV020, CV041, CV044]

8.2 融资背景、定价纪律与证据边界

融资故事是档案里最清晰的利多事实,也是最需要保持纪律的理由。Bose Quantum 披露了 2024 年 A+ 轮、2025 年后续 A++ / A+ 轮第二阶段,以及 2026 年 3 月 CNY 1 billion 的 B 轮。B 轮规模足够大,投资人名单也强,但所有已保留公开来源都没有给出投资人真正需要的条款:没有披露投后估值,没有证券类型细节,没有清算顺位,也没有把融资规模与经营经济性接起来的公开桥梁。这一点很关键,因为公司把资本投向芯片试验线、深圳制造扩张和技术放大,而公开来源尚未证明收入质量可以重复。换句话说,Bose Quantum 在透明经济性出现之前,先为工业产能融资。这可能造出超额赢家,也可能留下稀释和优先权包袱,而公开文章看不见这些。任何投资判断都应把披露融资规模视为支持证据,而不是价格公允的证据。[CV003, CV004, CV005, CV006, CV007, CV008]

FV004: 投资 KPI

Bose Quantum 在动能上得分高,在金融级证据上得分低,因此结论仍是 research-more。

分数是 1-10 的分析师判断,只基于保留的公开证据;不是公司报告的 KPI。

[CV002, CV003, CV009, CV011, CV014, CV020]

8.3 公开与私有可比样本

可比样本有信息量,但也危险。公开纯量子标的目前以异常高的市值 / 收入倍数交易:按最新可取得年度收入计算,IonQ 约 152.9x,D-Wave 约 361.0x,Rigetti 约 904.2x,Quantum Computing Inc. 约 3211.1x。这些数字说明市场愿意为量子期权价值出钱,但不能证明 Bose Quantum 应该得到同等待遇;恰恰相反,它们显示整个品类仍高度投机。私有样本同样跨度很大。Quantinuum 在 2025 年披露,以 $600 million 融资对应 $10 billion 投前估值;ORCA 更早的光子 Series A 只有 $15 million。因此,Bose 位于很不一样的可比坐标之间:比早期光子创业公司更有规模、融资更充足,但披露远不如公开纯量子公司,成熟度也远低于融资最足的私有龙头。可比公司只能提供框架,不能直接给出定价答案。[CV021, CV022, CV023, CV024, CV025, CV026]

可比估值表
可比公司类型最新披露收入或融资锚点市值 / 估值锚点隐含倍数或状态Bose 参考意义主要局限
IonQ上市量子平台$130.0M FY2025 收入$19.88B 市值~152.9x 收入展示最高质量的公开市场期权性基准,且有真实规模和现金。披露、流动性和多元化程度都远高于 Bose Quantum。
D-Wave上市退火 / 量子系统$24.6M FY2025 收入$8.88B 市值~361.0x 收入是仍在变现早期采用的上市量子公司的有用基准。技术路线和客户结构不同;仍受益于公开市场流动性。
Rigetti上市超导量子$7.1M FY2025 收入$6.42B 市值~904.2x 收入说明即便收入很小,量子期权性也能维持很高估值。技术路线不同,且现金余额异常大,扭曲了直接比较。
Quantum Computing Inc.上市光子 / 量子邻近$0.682M FY2025 收入(Stock Analysis);$0.373M FY2024 10-K 收入$2.19B 市值~3211.1x 收入最接近公开市场光子风格情绪标尺,但收入基数很小。业务组合包括传感和光子学,超出 Bose Quantum 当前画像。
Quantinuum非上市规模化量子龙头2025 年 $600M 股权融资投前估值 $10B私营后期龙头规模和声誉强得多时,这一案例给出私营量子公司融资胃口的上沿。不是中国光量子私营公司的可比样本,运营成熟度也高得多。
ORCA Computing私营光量子初创公司2022 年 $15M Series A仅早期融资早期光量子参照可参照早期私营投资人如何给光量子类别投钱。阶段太早、规模太小,无法直接给 2026 年的 Bose 定价。

可比样本组混合了上市纯量子公司和私营参照点,因为没有一个已披露标的能同时匹配 Bose Quantum 的技术路径、地域、披露程度和阶段。

[CV021, CV023, CV024, CV026, CV027, CV030]
FV002: 估值敏感性

承销区间中点受披露和商业化证明影响更大,单靠融资标题难以推动。

数值是以百万美元计的分析师敏感性标记,不是公司披露估值;每个条形围绕基准情境中点隔离一个门槛变量。

[CV015, CV016, CV043, CV048, CV049, CV050]

8.4 牛 / 基准 / 熊情景与投资判断区间

Bose Quantum 不披露收入或估值,因此情景分析应被读作投资判断区间,而不是所谓公允价值。牛情景假设公司把当前战略牵引转化成可重复的企业或政府续约,证明试验线产出和良率,并把 2026 年融资变成可见商业化,而不只是扩产。在这个世界里,低于 $1.2 billion 的估值区间可以用私有市场期权价值逻辑来论证。基准情景保守得多:公司继续推进技术和融资,但公开证据仍以试点为主,下一轮融资更依赖故事质量,而不是经审计经济性;这支撑的是数亿美元中段区间,而不是跃上十亿美元。熊情景假设先建工厂、需求未跟上,出口管制摩擦,或下一轮疲弱且条款惩罚性强。沿着这条路径,价值会急剧压缩,普通股风险快速上升。区间的意义不是精确,而是说明定价敏感性主要由披露、重复需求和条款决定。[CV042, CV043, CV048, CV049, CV050]

牛市 / 基准 / 熊市情景表
情景核心假设示例价值区间(USD)概率信号下行 / 上行驱动因素
牛市重复客户、披露收入规模、试点线证明,以及可控政策摩擦$0.8B-$1.2B需要从战略性证明硬转为商业证明上行来自稀缺光子量子期权与已披露经济性相匹配
基准技术进展继续,但商业化仍以试点为主,下一轮融资仍依赖叙事加战略资本$0.35B-$0.6B与当前公开证据最一致价值受收入、条款和续约质量不透明拖累
熊市工厂扩张快过需求、政策摩擦恶化,或下一笔资本以过桥 / 降估值轮形式到来$0.1B-$0.25B如果下一轮融资周期启动时仍没有运营证明,这一情景更可能发生下行由惩罚性条款、优先权堆栈扩大和重复需求疲弱驱动

情景区间是分析师假设,不是已报道估值;用途是在明确披露和商业化条件下框定价格纪律。

[CV048, CV049, CV050]
FV003: 估值 / 回报区间

公开证据支持宽口径承销区间,而不是 Bose Quantum 的单一公允价值。

情境区间是基于里程碑的承销估计,不应误认为公司披露估值。

[CV048, CV049, CV050]

8.5 退出准备度、论点失效触发因素与最终尽调清单

Bose Quantum 还没有公开退出准备度。已保留档案中没有任何信息表明公司具备经审计的公众公司准备度、公开收入透明度,或近期上市安排。更可能的退出是卖给更大的计算、工业或国家相关平台;后续私募融资或资本重组;或者在制造和客户证明改善后,走一条周期很长、逐步扩大披露的路径。这让尽调纪律更重要。论点不应只因量子比特新闻而成立或破裂,而应看决定生存能力的经营事实:可重复付费客户、可信的工厂良率和产出,以及不会把新股权压在隐藏优先权之下的融资条款。给本轮定价之前,投资人应要求经审计收入和毛利率、客户续约分组、股权结构表和分配瀑布细节、制造良率指标,以及可信的出口管制和供应商地图。如果管理层拿不出这些材料,正确动作是继续跟踪,而不是强行给出公开记录无法支撑的精确数字。[CV051, CV052, CV053, CV054]

推翻投资论点与终止触发因素表
触发因素可观察阈值对投资判断的传导行动含义
无重复付费客户管理层无法拿出战略试点之外的续约或扩张证据早期商业化判断失效,部署从收入证明降级成验证秀不为新一轮定价;退回仅跟踪
工厂有产出但缺少良率证明深圳扩建继续推进,但不披露良率、缺陷率或单位产出指标扩产变成资本消耗,而非护城河扩张加制造风险折价,或直接放弃
惩罚性融资条款下一轮依赖内部过桥资金、高优先级清算权或结构性保护工具现有融资背书对普通股价值的解释力下降按清算条款重新承销,而不是看名义估值
出口管制 / 供应商中断关键组件或跨境流程出现许可或采购摩擦执行风险上升,商业化周期可能被拉长缓释措施被证明前,将估值压到区间低端
叙事跑在经济性前面持续发布量子比特或 AI 消息,但收入披露、客户 cohort 和毛利率仍缺位表明公司仍在证据之前先卖故事维持 research-more,不接受只靠营销做价格发现

终止触发因素关注的是存活能力及其如何传导到承销判断,而不只是技术头条里程碑。

[CV014, CV015, CV016, CV020, CV053]
最终尽调问题表
主题缺失证据为什么重要负责人 / 尽调路径
融资条款投后估值、股权类别、清算顺位,以及任何棘轮条款或高优先级保护没有条款,就无法建模回报或下行。向 CFO / 法律顾问索取董事会批准的融资文件和 cap table。
收入质量经审计收入、毛利率、订单积压和现金消耗收入质量决定公司是在用资金放大增长,还是在补贴概念验证亏损。审阅经审计财报和管理账。
客户 cohort付费客户数量、续约 / 扩张历史,以及按账户计算的集中度区分试点和可投资收入引擎,最干净的证据就在这里。查看 cohort 表和大客户明细。
制造准备度试点产线良率、单位产出、缺陷率和 capex 路线图没有这些数字,工厂扩张只是资本故事。现场走访,并从 CTO / 制造负责人取得运营资料包。
政策与供应链出口管制备忘录、供应商地图和国产替代计划跨境摩擦可能同时改写时间线和融资范围。独立贸易律师审查,并访谈供应商。
治理与退出董事会权利、关联方风险、审计成熟度和长期退出规划即使技术跑通,不透明治理也可能抹掉价值。审阅董事会材料、治理文件和审计准备计划。

这些问题是把叙事正面的公司变成可定价投资案例前,至少需要拿到的资料包。

[CV015, CV016, CV051, CV052, CV054]

8.6 附录图表

免责声明

本报告是基于公开证据的尽调快照,不构成投资建议。重要的财务、法律、技术和合同事实仍未公开;做出任何投资决定前,应直接向管理层和一手文件核验。

证据索引

结论
编号陈述可信度来源
CO001 Bose Quantum was founded on 2020-11-16 in Beijing. SO015, SO016
CO002 The company's public headquarters is in Chaoyang District, Beijing, at Wanhong West Street. SO002, SO015
CO003 The current legal entity is Beijing Boson Quantum Technology Co., Ltd. as a non-listed joint-stock company. SO014, SO015
CO004 The company positions itself as a full-stack photonic quantum-computing provider spanning hardware, software and cloud access. SO001, SO005
CO005 Public sources consistently describe Bose Quantum as focused on scalable and programmable photonic or coherent optical quantum computing. SO003, SO004, SO005
CO006 Open sources do not disclose audited revenue, ARR, burn or runway for Bose Quantum. SO002, SO026
CO007 Wen Kai is Bose Quantum's founder and CEO. SO002, SO005
CO008 Wen Kai holds a Stanford Ph.D. and has been described by trade press as a former Google quantum lead. SO004, SO005, SO017
CO009 Independent scholarly records show Kai Wen as an active quantum researcher with publications in quantum communication and optical-computing topics. SO017, SO018
CO010 The official team page names Ma Yin, Wei Hai and Wang Chuan as core members of the founding technical leadership bench. SO002
CO011 Aiqicha lists Ma Yin as vice chairman and Li Huiling, Jiang Peixing, Ruan Dong and Wang Dan in financial or director roles. SO016
CO012 The official about page says the core R&D team comes from Stanford, Tsinghua and the Chinese Academy of Sciences. SO002
CO013 Company sources claim that 70 percent of staff are in R&D and 65 percent hold master's or doctoral degrees. SO002
CO014 Boson Quantum had completed seven fundraising events since founding by the time of the late-2024 TMTPost coverage. SO005, SO026
CO015 The March 2026 Series B raised CNY 1 billion, roughly USD 145 million. SO007, SO008, SO009, SO010
CO016 Series B lead investors publicly included Beijing Financial Holdings, ICBC Capital, Chaoyang Shunxi, China Merchants Bank International and Shenzhen Investment Holdings. SO007, SO008
CO017 The 2026 Series B proceeds were earmarked for product R&D, chip-process improvement, a pilot line and manufacturing scale-up, plus quantum-plus-AI commercialization. SO007, SO008, SO010
CO018 The October 2025 A++ round brought in hundreds of millions of renminbi and was co-led by Huade Tech Innovation and Nanshan Strategic Emerging Investment. SO006, SO012
CO019 A++ round proceeds were slated for dedicated and general-purpose coherent photonic quantum computers, chip-fabrication capability and Shenzhen manufacturing operations. SO006, SO012
CO020 A Beijing government-backed high-tech industry fund led Bose Quantum's 2024 A+ financing. SO004
CO021 Bose Quantum's 2023 Series A exceeded RMB 100 million and was tied to China Mobile and Tsinghua-affiliated capital. SO013
CO022 The named investor roster across 2023-2026 rounds indicates that Bose Quantum is financed heavily by state-linked, policy-adjacent or strategic institutional capital. SO004, SO006, SO007, SO013
CO023 Open public evidence does not disclose exact ownership percentages, liquidation preferences, debt obligations or secondary transactions for Bose Quantum's financing history. SO014, SO015, SO026
CO024 Tracxn's accessible output shows Bose Quantum as a Series B company with seven funding rounds, but the post-money valuation field is not openly visible. SO026
CO025 No open source reviewed in this chapter independently verifies the exact post-Series-B valuation often associated with Bose Quantum. SO007, SO010, SO026
CO026 Aiqicha reports Bose Quantum's registered capital at CNY 360 million, which is not the same metric as valuation. SO014, SO015
CO027 Open-source cover metrics leave revenue, ARR, burn and runway unsupported and therefore unsuitable for underwriting from public data alone. SO002, SO015, SO026
CO028 Public English and filing-style sources do not provide enough evidence to verify independent board oversight or full governance rights. SO011, SO016
CO029 Bose Quantum should be analyzed as a private Series B hardware scale-up rather than as a mature public-market issuer or a pre-seed research project. SO007, SO015, SO026
CO030 Bose Quantum publicly launched a 100-qubit coherent photonic quantum-computing system in 2023. SO021, SO022
CO031 By 2024 Bose Quantum had launched a 550-qubit coherent photonic quantum computer and cloud service. SO003, SO005
CO032 The official site says Bose Quantum launched the Yuliang Shanhai 1000 system and its first general photonic quantum chip in May 2026. SO002
CO033 Xinhua reported that the Yuliang Shanhai 1000 can run stably for 7×16 hours and is already being applied in new-drug, materials, brain-science, power and finance scenarios. SO007
CO034 The company claims its 550-qubit cloud platform has recorded over 18 million accesses or solver calls, served more than 400 institutions across 830 disciplines and produced 440-plus application reports. SO005
CO035 Bose Quantum and China Mobile jointly launched the Hengshan photonic quantum-computing platform on the Wuyue cloud platform in December 2023. SO021, SO022
CO036 TMTPost reports that Bose Quantum in 2024 sold China's first commercial photonic quantum computer and issued the first tax invoice for such a system in the country. SO004, SO005
CO037 Official and state-media sources say Bose Quantum is building China's first factory dedicated to large-scale photonic quantum-computer production in Shenzhen, with dozens of units of annual capacity targeted. SO019, SO020
CO038 The official about page says Bose Quantum has built photonic-quantum laboratories in Suzhou, Shenzhen and Nanjing in addition to its Beijing base. SO002
CO039 Aiqicha reports 59 patent records, 114 trademarks and 10 software copyrights for Bose Quantum. SO016
CO040 Physics World's coverage of Baidu and Alibaba exiting direct quantum-computing research is an adverse reminder that commercial quantum hardware remains difficult even in China's strategic sectors. SO024
CM001 Bose Quantum's relevant market is quantum computing systems and services rather than the full umbrella of quantum sensing or quantum communications. SM001, SM003, SM012
CM002 The included spend boundary for Bose covers dedicated photonic hardware, cloud access, developer tooling, and application support rather than generic AI or semiconductor budgets. SM001, SM002, SM026
CM003 For most buyers the status-quo substitutes remain classical HPC, AI models, and classical optimization heuristics, so quantum is entering as a hybrid adjunct rather than a full-stack replacement. SM013, SM020, SM023
CM004 The most repeatedly cited near-term demand pools for quantum computing are optimization, chemistry or materials simulation, and financial modeling. SM003, SM012, SM016
CM005 Bose's photonic positioning is consistent with broader photonic-vendor messaging around modularity, networking, programmability, and easier service delivery than cryogenic lab-only systems. SM001, SM017, SM021, SM022
CM006 QED-C sizes the 2025 global quantum technology market at $1.9 billion and the quantum computing segment at $1.4 billion, with the computing segment rising to more than $3 billion by 2028. SM012
CM007 QED-C counted 7,420 quantum-engaged organizations and 556 pure-play quantum companies by the end of 2025, indicating a broadening supplier and buyer ecosystem before mass deployment. SM012
CM008 McKinsey reports that more than 300 organizations including Airbus, JPMorgan, and Boehringer are already collaborating with quantum technology companies and that first movers are shifting from pilots to workflow-embedded applications. SM013, SM024
CM009 McKinsey says quantum technology startup investment reached $12.6 billion in 2025 while QED-C separately logged $4.9 billion of new private VC and $12.7 billion of new government funding in the same year. SM012, SM013
CM010 QED-C expects the first useful applications to emerge in three to five years, especially in materials science, drug discovery, logistics, and finance. SM003, SM012
CM011 Public quantum market estimates diverge because some sources measure current vendor revenue while others measure broader value pools, investment intensity, or adjacent ecosystem breadth. SM012, SM013, SM014
CM012 Post-Quantum's summary of McKinsey places the 2035 internal quantum technology market at roughly $60 billion to $100 billion overall, with quantum computing accounting for about $43 billion to $71 billion of that range. SM014
CM013 Bose and its China Mobile launch materials show a cloud-first access model in which users start with hosted quantum resources, simulation, and SDK-based task submission before any broader production deployment. SM001, SM002, SM026
CM014 Bose explicitly markets use cases in artificial intelligence, communications, finance, pharmaceuticals, and energy rather than a single vertical wedge. SM001, SM002
CM015 Across photonic vendors, recurring target verticals include chemicals or materials, pharma or drug discovery, finance or optimization, energy, logistics, and cybersecurity. SM016, SM020, SM022
CM016 IQM's 2026 enterprise study says 89 percent of respondents already do hands-on quantum work but only 10 percent report limited production use and 3 percent report scaled deployment. SM008
CM017 IQM reports that about 46 percent of buyers expect on-premises quantum infrastructure to form part of their access model within three years versus 24 percent favoring public cloud alone. SM008
CM018 WJARR argues that QCaaS and hybrid quantum-classical orchestration reduce adoption barriers compared with waiting for fully owned on-prem quantum hardware. SM013, SM023
CM019 Serious buyers increasingly care about calibration access, integration with existing systems, and accumulated organizational capability rather than qubit counts alone. SM008, SM013
CM020 The most plausible early buyer archetypes for Bose are government or HPC institutions, enterprise R&D groups, financial institutions, and industrial optimization teams rather than general IT departments. SM003, SM005, SM024, SM025
CM021 China's quantum ecosystem is state-coordinated and heavily funded, with MERICS estimating about $15 billion of government scientific and industrial spending and USCC highlighting centralized coordination. SM003, SM004
CM022 USCC and TQI both argue that China's state-led structure can accelerate infrastructure buildup while also constraining market-driven experimentation and private-sector autonomy. SM003, SM007
CM023 China says it screened more than 1.3 million university and research-institution patents and identified 680,000 invention patents with commercialization potential, showing a policy push to move science into market channels. SM011
CM024 Chinese official coverage now emphasizes practical quantum use cases such as medical screening, parking or traffic optimization, and drug-related workloads rather than purely laboratory milestones. SM009, SM010
CM025 Public-private partnerships and industrial policy remain core market drivers because QED-C says the industry is still too early-stage and capital-intensive for private capital alone to carry commercialization. SM003, SM012
CM026 Talent is a binding adoption constraint because QED-C says cross-disciplinary quantum talent is scarce and IQM says skills are the most consistent barrier cited by 66 percent or more of large enterprises, universities, and government buyers. SM008, SM012
CM027 Quantum supply chains remain fragile and strategic, with recurring dependencies on photonics, control electronics, cryogenics, and specialized materials. SM004, SM012, SM017, SM021
CM028 Photonic vendors pitch manufacturability, optical-network modularity, and cloud-to-on-prem continuity as adoption advantages over more infrastructure-heavy approaches. SM017, SM021, SM022
CM029 Commercial opportunities remain uncertain even as national-security interest stays high, so China's home market can support infrastructure buildout without proving broad private-market willingness to pay. SM003, SM007
CM030 D-Wave markets production use with paying customers as a point of differentiation, which implies broad market commercialization is still rare enough to be exceptional. SM015
CM031 D-Wave highlights manufacturing, logistics, and life-science deployments, reinforcing that the strongest near-term willingness-to-pay sits where optimization or simulation connects directly to operational metrics. SM015, SM016, SM020
CM032 The photonic market narrative is bifurcated between bold scale claims and practical capability-building, with Bose and peer vendors emphasizing usable systems while adoption studies still show a large production gap. SM001, SM008, SM022, SM023
CM033 The most defensible current sizing frame for Bose is evidence-constrained rather than classic TAM-SAM-SOM because public sources support a low-billions revenue market and an active but still narrow enterprise collaborator base rather than transparent segment conversion data. SM003, SM012, SM013
CM034 The observed buyer journey still runs from education and proofs of concept to hybrid pilot workflows and only then to production or on-prem systems. SM008, SM013, SM022, SM023
CM035 Production photonic vendors typically sell through a layered stack of toolkit or SDK, cloud access, applications support, and then hardware or on-prem systems, which lowers switching costs for early buyers. SM002, SM020, SM022, SM026
CM036 Enterprise quantum benchmarking is already visible in automotive and finance, where public rankings single out companies such as Volkswagen, BMW, JPMorgan, and Goldman Sachs as active quantum adopters. SM024, SM025
CM037 Bose's near-term buyer set is likely to skew toward research-intensive and strategically backed institutions because its public messaging centers on cloud tasks, SDK access, and application pilots rather than off-the-shelf enterprise software. SM001, SM002, SM026
CM038 China-specific commercialization may favor state-linked or public-sector buyers because official reporting stresses strategic platforms, institutional integration, and applied demonstration projects more than transparent competitive pricing. SM003, SM004, SM009
CM039 Even bullish sources frame quantum as a preparation market because QED-C says progress will be gradual and early positioning matters while McKinsey says companies can no longer afford to wait and see. SM012, SM013
CM040 QED-C's current-revenue forecasts and McKinsey's broader value-pool estimates should not be summed because they use different denominators and time horizons. SM012, SM014
CM041 A unit-consistent market pyramid can be expressed in USD billions by anchoring the current market at about 1.4, the low end of the 2035 vendor market at about 60, and the low end of the 2035 economic value lens at about 1300. SM012, SM014
CM042 Bose's practical wedge sits inside the subset of organizations already running pilots or hybrid workflows rather than inside the full theoretical economic value pool. SM002, SM008, SM013
CM043 Buyer attractiveness is strongest where photonic advantages map to existing simulation or optimization workflows and where organizations already fund experimentation. SM001, SM016, SM020, SM022
CM044 The public evidence supports a staged adoption path of learn, cloud experiment, co-develop, integrate, and then scale or install dedicated capacity. SM002, SM008, SM022, SM023
CP001 Bose publicly presents dedicated photonic quantum systems at 100, 550 and 1000 qubits, with an overclocked 1000-series mode that it says can support 3000-qubit problems. SP001
CP002 Bose says its systems run at room temperature without vacuum or ultra-low-temperature infrastructure, which lowers deployment and operations friction relative to cryogenic stacks. SP001
CP003 Bose says its coherent quantum-computing stack has already been integrated into China Mobile Cloud's Wuyue platform for industry applications. SP001
CP004 The retained Bose product and Kaiwu SDK pages show hardware and tooling, but they do not disclose a public list price or standard consumption price. SP001, SP002
CP005 PsiQuantum positions silicon photonics as a modular utility-scale platform that combines photonic chips, networking, cryogenics, control systems and software. SP003
CP006 PsiQuantum publicly emphasizes chemistry, agriculture, energy, defense and PDE-style applications, showing an enterprise-application GTM rather than a transparent self-serve pricing model. SP003, SP004
CP007 ORCA markets PT-1 and PT-2 as rack-mounted, room-temperature photonic systems that can plug into existing HPC environments. SP006
CP008 ORCA says its development environment supports hybrid quantum-classical applications such as combinatorial optimization and generative AI. SP007
CP009 ORCA cites nuclear-fusion modeling and computational-chemistry collaborations, indicating a domain-pilot GTM motion rather than a broad posted-pricing motion. SP007
CP010 Quandela positions MosaiQ as a modular photonic platform available on the cloud and on premises, and says systems from 6 to 24 qubits can be ordered now. SP008, SP009
CP011 Quandela Cloud says it serves hundreds of academic and corporate users, shows 2,461 active users, and offers QPU reservation, APIs and flexible pricing options. SP010
CP012 The retained Xanadu Aurora release supports that Xanadu remains a modular and networked photonic peer, but the retained source does not disclose a public price card or commercialization metrics. SP005
CP013 LightSolver markets a physics-based laser processing unit as an analog alternative for optimization-class HPC workloads and claims roughly 1,000 TOPS-equivalent parallel compute. SP011
CP014 IBM publicly offers a free Open Plan plus PAYG, Flex, Premium and on-prem quantum-compute plans, which is more packaging transparency than Bose or most photonic peers show. SP012
CP015 IBM's retained pricing page lists PAYG at $96 per minute, Flex starting at 400 minutes per year and $72 per minute, Premium starting at 5200 minutes per year and $48 per minute, with on-prem by quote. SP012
CP016 IBM says its Quantum Network includes 300+ members, 65+ commercial partners and startups, 50+ industry clients and 35+ Quantum Innovation Centers. SP013
CP017 D-Wave markets Leap as a real-time cloud service with 99.9% availability, subsecond response times and hybrid solvers. SP014
CP018 D-Wave's 2025 annual report says revenue reached $24.6 million, up 179% year over year. SP022
CP019 The same D-Wave filing says the company has paying customers in production but still needs to accelerate sales cycles and warns that competition can pressure prices and gross margins. SP022
CP020 Amazon Braket exposes a broker model that uses one tooling layer across multiple quantum computers and charges by shot, task or hourly reservation. SP015, SP028
CP021 Amazon Braket publicly highlights access to different hardware modalities including superconducting, trapped-ion and neutral-atom devices. SP015, SP028
CP022 Azure Quantum's public pricing surfaces show that providers set their own prices inside one Microsoft broker layer, and the retained docs list IonQ, Quantinuum, Rigetti and Pasqal offers. SP016, SP027
CP023 The retained Azure docs disclose partner-specific plans including IonQ pay-as-you-go access, Quantinuum subscriptions at $125,000 and $175,000 per month, Rigetti time-based billing, and Pasqal QPU-hour pricing. SP016, SP027
CP024 IonQ says its hardware is integrated with all major cloud platforms, major quantum programming languages and quantum software developer kits. SP023
CP025 IonQ also publicly claims 99.99% two-qubit gate fidelity, 1,200+ patents, five generations of systems in market and deployments on all three major public clouds. SP023, SP025
CP026 Quantinuum says Helios has the highest average two-qubit gate fidelity in the commercial market and showcases enterprise work with BMW, bp, SoftBank and Synopsys. SP026
CP027 Rigetti presents a full-stack chip-to-cloud model and publicly sells the 9-qubit Novera QPU as accessible development hardware. SP024
CP028 NVIDIA argues that useful quantum computing depends on integration with AI supercomputers and hybrid workflows, meaning classical-compute suppliers can capture part of the quantum value chain. SP017
CP029 QED-C says the global 2025 quantum market was about $1.9 billion, with quantum computing at $1.4 billion and forecast above $3 billion by 2028. SP021
CP030 QED-C also says the quantum supply chain is custom and fragile and that quantum talent is still insufficient to support industry growth. SP021
CP031 USCC says state coordination and mega-projects have guided China to early quantum breakthroughs, which supports Bose's domestic-policy alignment story. SP019
CP032 MIT's 2025 report says the United States remains the front-runner in quantum-computing commercialization because of the number and diversity of QPUs, while China leads in quantum communications and patents. SP020
CP033 Physics World reports that Baidu donated its quantum facility to BAQIS and that Alibaba planned to quit direct quantum-computing research, showing commercialization difficulty even for well-capitalized Chinese tech groups. SP018
CP034 Bose's strongest direct overlap is with ORCA, Quandela, Xanadu and PsiQuantum on photonic or optical architectures, so modality alone is not a durable moat. SP001, SP003, SP005, SP006, SP008, SP010
CP035 Bose's clearest defensible wedge in retained public evidence is domestic channel and policy fit rather than uniquely transparent GTM or pricing. SP001, SP019, SP020
CP036 Public multi-vendor clouds from AWS and Azure reduce switching costs by letting buyers test different modalities and providers without committing to a single hardware vendor. SP015, SP016, SP027, SP028
CP037 IBM's network scale and IonQ's all-cloud positioning suggest that distribution power in quantum is concentrating around ecosystem control, not only around qubit-count marketing. SP013, SP023, SP025
CP038 Because Bose does not publicly disclose list pricing, contract structure or paid-customer counts on retained sources, outside buyers can benchmark incumbents more easily than Bose on procurement path and total access cost. SP001, SP002, SP012, SP027
CP039 D-Wave's filing and QED-C together show a category with real commercial traction but still material fragility around long sales cycles, supply chain and talent. SP021, SP022
CP040 LightSolver and NVIDIA indicate that some optimization or hybrid-compute budgets can go to classical or analog accelerators instead of dedicated quantum vendors. SP011, SP017
CP041 Compared with IBM, D-Wave, IonQ, Quantinuum and Rigetti, Bose's public trust signals are narrower because retained Bose pages show technical and channel claims but not audited revenue, broad network counts or global-cloud presence. SP001, SP012, SP013, SP022, SP023, SP024, SP026
CP042 Buyer switching costs into Bose look moderate rather than absolute because SDK and cloud onboarding can be easy, but cloud-broker access makes multi-homing and comparative testing normal. SP002, SP015, SP027, SP028
CP043 Bose uses optimization-oriented public proof points such as a 550-node fully connected Max-Cut result and a 100-variable system claim, which anchors its near-term product story in optimization rather than in general-purpose fault-tolerant computing. SP001
CP044 Western incumbents expose explicit enterprise and government-style procurement paths through on-prem plans, hyperscaler pricing pages and public trust signals, while Bose's retained public materials do not show an equivalent international compliance surface. SP012, SP013, SP016, SP019
CI001 Official surfaces show Bose offers a full stack spanning hardware, cloud platform, SDK, developer community, and vertical solutions rather than a single standalone device. SI001, SI003, SI011
CI002 Bose product pages describe specialized 100-, 550-, and 1,000-qubit systems, with the Shanhai 1000 page claiming support for up to 3,000-bit problems in overclock mode. SI003, SI005
CI003 The homepage lays out a funnel from competitions to community to Kaiwu SDK to cloud validation and then deployment on physical quantum computers. SI001
CI004 China Mobile Hengshan public-beta users can register in the cloud console and order real-machine quantum compute service, showing a usage-based cloud access path. SI010, SI013
CI005 Kaiwu SDK documentation says developers can model QUBO or Ising problems and call Bose real-machine compute directly through the physical interface. SI011, SI013
CI006 The Kaiwu community currently uses free real-machine quotas and certification rewards, including 10 annual 550-qubit quotas and 5 fixed monthly quotas, as a developer-acquisition incentive. SI009
CI007 Bose AI, biopharma, and smart-city solution pages route prospects to consultation rather than checkout, indicating enterprise solution sales instead of self-serve SaaS. SI006, SI007, SI008
CI008 Bose official pages do not publish hardware price cards, per-shot rates, subscription fees, or minimum contract sizes. SI001, SI003, SI004
CI009 That opacity matters because enterprise buyers can benchmark Bose against transparent quantum-access tariffs from IBM, AWS Braket, and Azure Quantum. SI022, SI023, SI024
CI010 IBM publicly lists a free tier plus paid access starting at USD96 per minute for pay-as-you-go, USD72 per minute for flex, and USD48 per minute for premium annual capacity. SI022
CI011 AWS Braket bills quantum-computer use through per-shot plus per-task fees or hourly reservations rather than upfront subscription charges. SI023
CI012 Azure Quantum provider pricing includes explicit execution minimums, with IonQ examples of USD97.50 per program with error mitigation on and USD12.4166 with it off. SI024
CI013 China Mobile describes Bose current cloud service as task-style quantum compute ordered from a console, which points to service or consumption revenue rather than only equipment sales. SI013
CI014 Bose public stack implies at least three revenue lines—hardware systems, cloud or compute access, and vertical solution or integration work—even though the company does not publish revenue mix. SI001, SI003, SI013
CI015 Hardware and solution pages emphasize deployment, reliability, and consultation, which is consistent with quote-based enterprise contracts and longer solution-sales cycles. SI003, SI005, SI006
CI016 Bose has repeatedly used external financing for R&D, chip-process capability, factory buildout, and ecosystem expansion, showing a manufacturing-led scale path rather than a software-light path. SI002, SI017, SI019
CI017 Registry filings show Bose business scope includes cloud equipment sales, cloud equipment manufacturing, instrument manufacturing, and telecom or internet service licenses, confirming exposure to hardware capex and compliance costs. SI014, SI015
CI018 Bose says it has labs in Suzhou, Shenzhen, and Nanjing plus a Shenzhen manufacturing factory, implying ongoing fixed-cost infrastructure beyond headquarters staff. SI002
CI019 Bose argues its systems run at room temperature without vacuum or ultra-low-temperature infrastructure, which should reduce deployment and maintenance burden relative to cryogenic architectures, although the company discloses no margin data. SI003, SI021
CI020 Bose disclosed up to 16+ service hours per day, MTBF of at least 1,000 hours, MTTR of no more than 72 hours, and power draw up to 1,500W for the 1,000-qubit class, implying real uptime, field-service, and energy-cost obligations. SI004, SI005
CI021 The Shanhai 1000 page says automated repair, monitoring, and self-check features are intended to reduce manual O&M cost, but Bose does not publish the resulting service margin. SI004, SI005
CI022 Bose 2026 Series B capital is explicitly earmarked for a pilot quantum-chip production line and factory expansion, meaning commercialization still requires substantial manufacturing investment. SI017, SI020, SI021
CI023 Bose Shenzhen factory began production in November 2025, according to Yicai and follow-on sector coverage. SI017, SI020
CI024 Bose says it has already delivered systems to the National Supercomputing Center in Chengdu, China Mobile Communications Group, Beijing Electronic Zone High-tech Group, and North China University of Technology. SI017, SI020
CI025 The China Mobile platform targets government, enterprise, and research users and exposes 100-qubit real-machine access with authentication, monitoring, and task submission on cloud infrastructure. SI013
CI026 Bose homepage claims a developer community composed of thousands of users, providing a top-of-funnel traction proxy even though conversion rates are undisclosed. SI001
CI027 The Kaiwu Community GitHub repository presents an open Python toolkit with examples for TSP, knapsack, graph coloring, Max-Cut, machine learning, and solver extension, lowering trial friction for developers. SI011, SI012
CI028 Aiqicha company-detail data says Bose had 96 insured employees in 2025, giving a public headcount proxy for current operating scale. SI016
CI029 Bose about-page staffing mix of roughly 70% R&D and 65% masters or PhDs implies a technically heavy payroll base. SI002
CI030 Bose official about page says it has completed multiple financing rounds since founding, aligning with the view that commercial scale-up has depended on recurring outside capital. SI002
CI031 A 2023 Yicai report says Bose raised more than CNY100 million in a round led by the China Mobile Digital New Economy Industry Fund and Tsinghua Holdings Capital. SI018
CI032 A 2025 36Kr report says Bose Series A++ financing of hundreds of millions of yuan was designated for optical-quantum R&D, chip processes, Shenzhen factory construction or operation, and the quantum-plus-AI ecosystem. SI019
CI033 Bose 2026 Series B amounted to CNY1 billion and was led by state-backed and institutional investors for chip-line buildout and factory scale-up. SI017, SI020, SI021
CI034 QCC shows Bose converted into a non-listed joint-stock company in June 2026 and increased registered capital to RMB360 million. SI014, SI015
CI035 Registry pages simultaneously show paid-in capital of about RMB17.98 million, so registered capital should not be treated as a proxy for cash on hand or runway. SI014, SI015
CI036 Public sources in this review do not disclose cash balance, monthly burn, runway, gross margin, ARR, NRR, CAC, payback period, backlog, or customer concentration. SI014, SI015, SI017
CI037 D-Wave 2025 annual-report data show one of the sector most commercial vendors generated USD24.6 million of revenue yet still ended the year with USD884.5 million of cash and marketable securities. SI026
CI038 D-Wave Leap markets 99.9% uptime, subsecond response, and production-grade access, which sets a reliability bar Bose will face when selling cloud quantum services. SI025
CI039 Physics World reported Baidu and Alibaba stepping back from direct quantum-hardware research, reminding investors that long commercialization timelines can still invalidate private-sector quantum bets. SI027
CI040 Because Bose public traction is framed through deployments, platform beta, community quotas, and factory milestones rather than audited revenue, public evidence is insufficient to underwrite revenue quality. SI001, SI013, SI017
CI041 Official solution pages show Bose is pursuing AI, biopharma, energy, finance, communications, and city workloads, which diversifies pipeline targets but also implies integration-heavy, domain-specific selling. SI006, SI007, SI008
CI042 No public source in this review discloses debt facilities, project-finance commitments, or covenant structures for Bose, so absence of evidence should not be mistaken for debt-free operations. SI014, SI015, SI017
CI043 Bose combination of free community quotas and no public production pricing suggests customer acquisition may currently be subsidized to build pipeline, leaving realized pricing and conversion economics opaque. SI008, SI009, SI013
CI044 The public financial verdict is that Bose has credible commercialization surfaces and manufacturing momentum, but the investability case still depends on private disclosure of revenue, margins, conversion, and cash usage rather than on public evidence alone. SI002, SI017, SI026
CE001 Reviewed Bose official surfaces describe a full stack spanning specialized photonic hardware, cloud access, SDK tooling, developer community programs, and vertical solution pages rather than a standalone quantum box. SE001, SE008
CE002 Bose product pages publicly list specialized 100-, 550-, and 1,000-qubit systems, and the flagship Shanhai 1000 page says overclock mode supports up to 3,000-bit problems. SE002, SE003, SE004
CE003 The retained Bose product and SDK materials frame these machines around Ising or QUBO optimization workflows, not around general-purpose gate-based computation. SE002, SE010
CE004 Bose product pages say the systems are fully connected and programmable through a controller, which is central to their optimization-oriented positioning. SE002, SE004
CE005 The public product page describes a dedicated optical-fiber temperature-control module that keeps fiber temperature variation within 0.001°C and adds vibration isolation to protect photonic stability. SE002
CE006 Shanhai 1000 is marketed with standard, precise, and overclock modes plus CAC and QEE error-mitigation features and an L2 intelligent control system. SE003, SE004
CE007 Product specs claim Shanhai 1000 targets at least 16 hours of daily availability, MTBF of at least 1,000 hours, MTTR of at most 72 hours, and power draw of at most 1,500W. SE003, SE004
CE008 The Bose cloud page says its service matrix spans the official cloud platform plus Alibaba Cloud, Huawei Cloud, Tencent Cloud, and China Mobile Cloud channels. SE008
CE009 The cloud page says Quantum Cloud Hub virtualizes 24 dedicated photonic machines into one resource pool with dynamic load balancing and automatic failover. SE008
CE010 Bose publicly presents four access modes: direct cloud service, major public-cloud integration, a fusion-compute route, and local hardware deployment. SE008
CE011 Kaiwu SDK documentation describes a Python environment for solving QUBO problems on coherent photonic quantum computers with core modules including qubo, cim, ising, preprocess, classical, sampler, solver, and common. SE010
CE012 Kaiwu installation docs require Python 3.10, Bose platform credentials, and a local wheel install rather than a simple public package-registry-only flow. SE011
CE013 The Kaiwu changelog shows the product maturing from matrix import and simulators in v0.9.0 to QuboModel, direct solver support, model-to-real-machine tutorials, CIMOptimizer, PrecisionReducer, and automatic license handling by v1.3.0. SE012
CE014 The real-machine tutorial documents two public execution paths: upload a QUBO matrix in the cloud console or invoke CIMOptimizer and PrecisionReducer directly from the SDK. SE014, SE010
CE015 The TSP tutorial shows Bose teaching the same optimization problem across classical SA solving and CPQC-style real-machine execution, which makes the SDK look like a workflow bridge rather than a standalone cloud form. SE013, SE014
CE016 The qboson/kaiwu_community repository presents a pip-installable toolkit for QUBO work, custom solver extension, and example-driven use cases such as TSP and Max-Cut. SE015
CE017 The Kaiwu-PyTorch-Plugin repository claims PyTorch-native support for RBM, BM, QVAE, and QDiffusion workflows while retaining access to photonic quantum sampling through Kaiwu backends. SE016, SE005
CE018 The kaiwu-basic-examples repository includes notebooks and scripts for QUBO matrices, TSP, Max Cut, and a CIM optimizer example, giving the community a practical onboarding path beyond slides. SE017, SE014
CE019 Developer-harbor organizes community code into AI, biomedical research, and communication categories, which broadens the developer surface but still looks like a curated code showcase rather than a mature marketplace. SE018
CE020 The Kaiwu community portal offers 550-qubit quotas and community certification badges, showing Bose uses subsidized real-machine access as a developer-conversion tactic. SE009, SE017
CE021 The AI solution page positions QBM and Kaiwu-PyTorch-Plugin as the public AI layer, emphasizing energy-based training, full-connectivity structure, and model-acceleration use cases. SE005, SE016
CE022 The biopharmaceutical page extends the same stack into sequence design, docking, cell-state modeling, and materials discovery, indicating Bose sells domain workflows rather than a separate life-science instrument. SE006, SE016
CE023 The city solution page maps the platform to bus-route planning, MIMO beamforming, anti-fraud, and energy optimization, reinforcing that public use cases are optimization-heavy. SE007, SE013
CE024 The Quantum and arXiv paper coauthored by Kai Wen describes coherent Ising machines built from antisymmetrically coupled degenerate optical parametric oscillator pulses plus dissipative pulses and nonlinear transfer functions. SE019, SE020
CE025 The broader photonic-computing review treats photonics as a mainstream path for scalable and potentially room-temperature-friendly architectures, which is consistent with Bose’s modality choice but not a direct validation of Bose execution. SE021, SE001
CE026 Jiemian reports that Bose compares its special-purpose machines to a "quantum GPU," explicitly betting on narrower systems that can reach the market before universal machines. SE022
CE027 Jiemian and Quantum Computing Report both describe Bose as focused on special-purpose photonic optimization tasks rather than general-purpose fault-tolerant computing. SE022, SE024
CE028 Jiemian reports access through China Mobile Cloud, Alibaba Cloud, and Huawei Cloud, plus deployment at Chengdu Supercomputing Center, which gives independent support for at least some institutional integration. SE022
CE029 Yicai says the 2026 Series B will fund a chip pilot line, factory expansion, and an AI-plus-quantum ecosystem, linking manufacturing scale-up directly to the product roadmap. SE023, SE024
CE030 Quantum Computing Report says the Shenzhen factory began operations in November 2025 and is meant to standardize manufacturing and improve hardware reliability. SE024, SE023
CE031 SCIO says the Shenzhen facility will contain module development, full-system production and manufacturing, and quality-control-and-testing divisions. SE025
CE032 SCIO says the facility targets production of dozens of photonic quantum computers annually, which is a more explicit manufacturing-capacity claim than the main Bose website offers. SE025, SE024
CE033 The Bose homepage roadmap moves from 100-, 550-, and 1,000-qubit generations toward transformer-based tuning, chaotic amplitude control, multi-core parallelism, and a CQ-H photonic-chip program. SE001
CE034 The best-publicly-evidenced near-term differentiation is in control-system packaging and reliability messaging—modes, smart control, uptime, and failover—rather than in a broad independent benchmark corpus. SE003, SE004, SE008
CE035 The only explicit third-party validation visible in the reviewed Bose product specs is a company claim of China Academy of Information and Communications Technology technical verification, without a certificate link on the retained page. SE004
CE036 IAF CertSearch is designed to verify active certificates by company name or certificate number, but no Bose-specific security or quality certificate artifact appeared in the reviewed materials for this chapter. SE026, SE001
CE037 Bose official pages market enterprise-grade security, data isolation, and cloud usability, but the reviewed public surfaces did not yield a trust center, privacy/security whitepaper, SOC report, ISO certificate, or public incident archive. SE001, SE008, SE026
CE038 Jiemian includes adverse outside views that special-purpose quantum systems may remain commercially narrow and could face pressure from improving classical AI hardware. SE022
CE039 The chapter’s strongest technical-moat evidence comes from room-temperature photonic operation, full connectivity, and PyTorch-compatible tooling, not from a large public patent list or broad package-registry distribution. SE001, SE002, SE016
CE040 The main product-technology diligence blocker is that Bose exposes workflow and uptime claims publicly but not the independent artifacts needed to verify security controls, SLA performance, or chip-process yield. SE004, SE008, SE023, SE026
CE041 A 2023 China Mobile / Bose article says the Hengshan public beta integrated Bose's 100-qubit machine into a one-stop flow covering data construction, task submission, secure authentication, status monitoring, and task-style ordering from a console. SE027
CU001 Retained Bose-owned customer surfaces consistently target biopharma, finance, AI, transport or city operations, materials, and adjacent industrial users rather than a single generic buyer persona. SU001, SU002, SU003, SU004, SU026
CU002 The official cloud page says Bose has already cooperated with more than 50 universities and enterprises. SU001
CU003 Bose presents four commercial access modes: direct cloud service, mainstream cloud integration, fused compute deployment, and local hardware deployment. SU001
CU004 The cloud page publishes task-based list pricing of 128 RMB per run for SPQC-1000 and 68 RMB per run for SPQC-550. SU001
CU005 The official cloud surface explicitly supports private deployment for buyers that purchase specialized quantum hardware. SU001
CU006 Bose says its cloud control plane manages 24 machines as one pooled resource with dynamic load balancing and automatic failover. SU001
CU007 Kaiwu materials show an open-source community edition for QUBO work and a separate enterprise flow that sends modeled jobs to real quantum hardware, which is the clearest retained separation between free tooling and paid machine access. SU016, SU024, SU025
CU008 Jiemian reports that users can access Bose machines through China Mobile Cloud, Alibaba Cloud, and Huawei Cloud on a pay-per-use basis. SU005
CU009 QbitAI says the China Mobile Hengshan photonic-quantum platform launched in public beta on 1 December 2023. SU006
CU010 The same China Mobile launch coverage says the service is open to government, enterprise, and research users after registration inside the Wuyue quantum cloud console. SU006
CU011 The China Mobile launch report says the platform exposes a 100-computational-qubit machine, Kaiwu SDK access, and simulation services as a one-stop task-submission workflow. SU006
CU012 The 2023 China Mobile launch article lists prior Bose collaborations with China Mobile, Ping An Bank, Huaxia Bank, Qianfang Tech, the Beijing Academy of Quantum Information Sciences, and the Chinese Academy of Medical Sciences. SU006
CU013 Jiemian says about 39 percent of Bose users come from biopharmaceuticals, including work with Guangzhou National Laboratory, XtalPi, and BGI. SU005
CU014 Jiemian says universities account for much of the remaining usage, which implies the visible user mix is still research heavy. SU005
CU015 Xinhua says the National Supercomputing Center in Chengdu has deployed a 550-qubit coherent photonic machine and integrated it with 100P FP64 classical compute. SU007, SU008
CU016 Xinhua says the Chengdu supercomputing platform has already completed task tests with a fintech research team, which is stronger than logo-only proof but still short of a disclosed recurring contract. SU007
CU017 The Sohu coverage says the Chengdu project includes a unified scheduling cloud platform and joint work with University of Electronic Science and Technology of China and Southwest Minzu University. SU008
CU018 Securities Times says Bose won China Merchants Bank’s first quantum-computing procurement project, Tiancheng AI, in October 2025. SU011
CU019 The Securities Times report says the China Merchants Bank project includes task-based real-machine service, optimization interfaces, fund-pool data validation, and custom algorithm support. SU011
CU020 Science and Technology Daily says Bose already has deep cooperation with China Mobile, XtalPi, and Shenzhen Metro and claims those projects have validated solution quality and efficiency. SU021
CU021 Science and Technology Daily says Bose has already landed specialized quantum use cases in biopharma, brain science, and new materials, with some problems solving more than 80 percent faster. SU020
CU022 QbitAI says cumulative solve calls have exceeded 68 million since the 100-qubit cloud service launched. SU012
CU023 The same QbitAI report says the platform covers more than 900 institutions and more than 10,000 participating developers. SU012
CU024 QbitAI says customers have already used Bose-trained QBM-VAE workflows in peptide generation, small-molecule generation, single-cell clustering, mRNA vaccine design optimization, and proteomics analysis. SU012
CU025 QbitAI says Bose has active exploration relationships with Guangzhou National Laboratory, Shanghai Jiao Tong University, Sun Yat-sen University’s pharmacy school, Beijing Cancer Hospital, and Tsinghua Changgeng Hospital. SU012
CU026 The Kaiwu developer community page says the community includes articles, Q&A, learning modules, events, and direct login into the real-machine cloud platform. SU023
CU027 Saikr shows Bose using the 2026 MathorCup modeling competition for mass developer education and lead generation. SU017
CU028 The public GitHub organization page shows only two active flagship repos with visible recent updates, which indicates a real but still narrow open-source surface relative to the size of Bose’s claimed commercial ecosystem. SU015
CU029 The Kaiwu Community repo is organized around QUBO modeling, example code, issue reporting, and community contributions, reinforcing a developer-led top-of-funnel. SU013, SU016
CU030 The Kaiwu PyTorch plugin targets machine-learning developers by wrapping Boltzmann-model training and evaluation inside a familiar PyTorch workflow. SU014, SU025
CU031 Tencent News quotes Bose co-founder Ma Yin saying banks and insurers remain cautious about high-risk, long-payback hard-tech projects and often require stronger revenue or financing profiles. SU019
CU032 Jiemian says supercomputing centers are Bose’s first customers because they offer public funding, technical validation, and lower commercial risk. SU005
CU033 Jiemian also says rival engineers view such supercomputing-center projects as exploratory and more aligned with local-government expectations than with sustained commercial demand. SU005
CU034 Jiemian says most Chinese quantum firms remain loss-making and reliant on venture funding rather than repeat customers. SU005
CU035 None of the retained public customer sources disclose NRR, GRR, logo churn, renewal rate, contract length, or satisfaction scores, so durability is still unproven externally. SU001, SU005, SU011, SU012, SU023
CU036 The retained public record clearly separates broad usage surfaces from paid deployment proof only in a few cases: China Mobile cloud subscriptions, Chengdu supercomputing deployment, and the China Merchants Bank procurement win. SU006, SU007, SU011
CU037 Because Bose publishes per-task cloud pricing and describes the bank engagement as task-based real-machine service, the visible monetization surface is usage-led rather than seat-led. SU001, SU011
CU038 Xinhuanet frames commercialization as the core test for China’s “quantum plus AI” wave, reinforcing that the sector is still judged by application transfer rather than by disclosed renewal metrics. SU022
CU039 Zhejiang Online shows Ping An Bank Hangzhou branch conducting onsite visits to Bose and peers, which evidences financial-sector interest but not yet a disclosed production contract. SU018
CU040 The QBoson about page says the company has completed scenario validation across AI, biopharma, finance, communications, energy, new materials, and transport. SU026
CU041 Science and Technology Daily says Bose signed strategic agreements with more than 20 partners at its 2026 launch event, which suggests ecosystem expansion even though customer and revenue splits remain undisclosed. SU020
CU042 Jiemian cites researchers who question whether customers will keep paying for dedicated quantum hardware as classical alternatives continue to improve. SU005
CR001 The U.S. Treasury's outbound-investment program explicitly covers China-linked quantum information technologies as a national-security category. SR001, SR006, SR008
CR002 The final outbound-investment rule effective January 2, 2025 adds notification, prohibition, diligence, and record-keeping burdens for covered China-quantum transactions. SR001, SR006, SR009, SR029
CR003 BIS guidance says a license is required for advanced-computing items shipped to entities headquartered in Country Group D:5, which can constrain a China-headquartered quantum hardware company even when parts or collaborations route through third countries. SR002, SR030
CR004 China's dual-use export-control regulations effective December 1, 2024 apply to goods, technology, services, and data with civil-military or proliferation relevance, creating a domestic transfer-and-export compliance layer around quantum systems. SR003, SR004
CR005 Lawfare's review of May 2025 controls says 37 Chinese entities were added to the Entity List, including 22 connected to quantum advances, showing that China quantum activity is already a live target of tightening U.S. controls. SR005, SR010
CR006 Bird & Bird and MERICS both describe China quantum development as strategically prioritized and heavily state-guided rather than broadly market-led. SR004, SR011
CR007 Qichacha shows QBoson's disclosed business scope includes internet information services and first-class value-added telecom services that depend on domestic approvals. SR024
CR008 Qichacha shows the company converted to a non-listed joint-stock company and raised registered capital to RMB 360 million in June 2026. SR024
CR009 The retained public sources surface patent activity and legal-scope changes, but they do not by themselves establish a verified no-litigation or no-sanctions conclusion across every company name variant. SR024, SR025
CR010 Yicai says QBoson plans to use its Series B proceeds for technological breakthroughs, a quantum-chip pilot line, and expansion of China's first large-scale quantum-computer factory. SR020, SR021
CR011 Quantum Computing Report says the Shenzhen factory effort is intended to standardize manufacturing processes and improve hardware reliability, not just add capacity. SR020, SR021
CR012 QBoson says it is simultaneously operating labs in Suzhou, Shenzhen, and Nanjing while building manufacturing capability in Shenzhen, which increases coordination burden. SR025
CR013 Jiemian says order intake outpaced hand-built prototypes, pushing QBoson toward factory construction before the economics of universal quantum computing are settled. SR022
CR014 The coherent-Ising review says repeated digital-to-analog and analog-to-digital conversions are a bottleneck that prevents optics from realizing its full speed-and-power advantage without major PIC advances. SR014
CR015 The single-photon CIM paper frames hybrid analog-plus-digital control as a necessary trade-off between physics speed and classical precision rather than a solved scaling pattern. SR015
CR016 The photonic-quantum review says scalable, fault-tolerant photonic quantum computing remains a frontier challenge despite rapid architectural progress. SR016
CR017 PostQuantum's photonic ecosystem map identifies photon sources, superconducting nanowire detectors, optical switching, and photonic integrated circuits as separate bottlenecks, which means QBoson cannot solve scale by mastering only one layer. SR018, SR016
CR018 PostQuantum's China supply-chain analysis says local progress is real, but severe vulnerabilities still remain across the full stack and the 80% localization narrative requires skepticism. SR017
CR019 The Quantum Insider reports that quantum systems are exposed to chokepoints in niobium, nickel, rare earths, and other specialized materials where China holds direct or indirect leverage. SR019
CR020 CNAS argues that the next three to five years are the industrial transition from laboratory systems to deployable quantum infrastructure, so supply chains and integration now gate commercialization as much as science does. SR013, SR012
CR021 Jiemian says users can access QBoson machines through China Mobile Cloud, Alibaba Cloud, and Huawei Cloud on a pay-per-use basis, making distribution partners central to reach and monetization. SR022
CR022 QbitAI says the China Mobile launch wraps data construction, task submission, authentication, monitoring, and message transfer into one partner-cloud workflow, embedding QBoson into a larger platform stack. SR023
CR023 Jiemian says about 39% of disclosed users come from biopharmaceuticals while universities account for much of the remaining mix, implying visible demand is not yet diversified across commercial verticals. SR022
CR024 Jiemian says supercomputing centers are low-risk first customers because they offer public funding and validation, which means early deployments can be more exploratory than revenue-durable. SR022
CR025 Quantum Computing Report names Chengdu supercomputing, China Mobile, and North China University of Technology as visible deployments, supporting customer proof but also revealing concentration in a small set of institutional anchors. SR020
CR026 MERICS says private capital and companies play a smaller role in China's quantum ecosystem than in the U.S., with firms often acting as intermediaries between state priorities and research institutions. SR011
CR027 USCC says China's quantum progress is rapid but uneven and state coordination drives much of the system, which raises execution risk if policy resources shift or civilian demand lags. SR010, SR011
CR028 Yicai shows QBoson is deploying RMB 1 billion into scale-up before public revenue disclosure, which is a direct sign of capital intensity ahead of proven self-funding commercialization. SR021
CR029 Jiemian says revenue figures are undisclosed and industry insiders still characterize most Chinese quantum firms as loss-making and venture-funded rather than repeat-customer funded. SR022
CR030 D-Wave's 2025 10-K says the company expects additional operating losses and may need capital sooner than planned, illustrating that public quantum hardware vendors still finance through sustained losses. SR026
CR031 Rigetti's 2025 10-K says a significant percentage of revenue depends on a limited number of customers and on public-sector contracts. SR028
CR032 Quantum Computing Inc.'s 2024 10-K says substantial doubt existed about continuing as a going concern without additional capital and that several technologies remained early in commercialization. SR027
CR033 Across D-Wave, Quantum Computing Inc., and Rigetti, public filings show that listed quantum vendors still combine heavy R&D burn, delayed profitability, and concentration risk even with broader disclosure and capital-market access than QBoson. SR026, SR027, SR028
CR034 QBoson says roughly 70% of staff are in R&D and that it has applied for dozens of invention patents, which provides some technical-depth mitigation against pure research risk. SR025
CR035 Qichacha lists 96 insured employees in the 2025 annual report, which is meaningful for a young startup but still modest relative to a chip line, factory, cloud stack, and multi-city labs. SR024, SR025
CR036 Qichacha records board and personnel changes in June 2026 while the company was changing legal form and expanding capital, which raises governance-transition risk during scale-up. SR024
CR037 RAND's framework says commercialization depends on scientific research, government support, private industry activity, and technical achievement together, so weakness in one leg can slow the whole industrial base. SR012, SR013
CR038 Treasury and multiple law-firm analyses all describe the outbound-investment regime as expansive and diligence-heavy, so compliance friction should be treated as durable rather than symbolic. SR001, SR006, SR007, SR008, SR009, SR029
CR039 Bird & Bird, MERICS, and USCC together imply that state support can speed scale-up while also biasing early traction toward policy-friendly institutions instead of broad market demand. SR004, SR010, SR011
CR040 Qichacha and QbitAI together show that regulated cloud-service and partner-authenticated access are already part of QBoson's commercial surface, so domestic compliance outages could interrupt actual service delivery, not just paperwork. SR024, SR023
CR041 The highest residual risk is commercialization mismatch: factory and chip-line scale can advance faster than repeat paying demand, leaving QBoson with more fixed cost before unit economics are proven. SR020, SR021, SR022, SR026, SR027, SR028
CR042 Export-control friction, supply-chain chokepoints, and partner concentration can compound into delayed deployments, weaker revenue visibility, and another financing cycle. SR002, SR003, SR017, SR018, SR019, SR020
CR043 No retained public source provides an uptime history, SLA archive, recall record, or factory-yield disclosure for QBoson's production and cloud stack. SR020, SR022, SR023, SR025
CR044 No retained public source discloses revenue mix, renewal rates, top-customer share, or channel split, so concentration cannot be underwritten from public evidence alone. SR020, SR022, SR025
CR045 No retained public source discloses a supplier list or BOM-level dependence for detectors, photon sources, PIC fabrication, or EDA/tool-chain inputs. SR017, SR018, SR025
CV001 Bose Quantum says it is focused on practical special-purpose quantum computing rather than a general-purpose universal stack. SV001, SV002
CV002 Bose Quantum publicly presents hardware, cloud, and application-solution surfaces rather than only a research prototype. SV001, SV002
CV003 QBoson completed a Series B round worth CNY 1 billion (about $145 million) in March 2026. SV003, SV004, SV005, SV006
CV004 The 2026 Series B investor roster included Beijing Financial Holdings, ICBC Capital, CMB International, Shenzhen Investment Holdings, and Addor Capital. SV003, SV004
CV005 Public reporting says the Series B proceeds will fund a pilot chip line, Shenzhen factory expansion, and technical scale-up. SV003, SV005, SV006
CV006 Boson Quantum publicly disclosed an A+ round in 2024 led by a Beijing government-backed industry fund. SV007
CV007 Boson Quantum disclosed a follow-on A++ or second-phase Series A+ round in October 2025. SV008, SV010
CV008 TMTPost described the 2025 financing as the company’s seventh disclosed fundraising event. SV008
CV009 Boson Quantum said it sold China’s first commercial photonic quantum computer and issued the first tax invoice for such a system in 2024. SV008
CV010 Boson Quantum’s 550-qubit cloud platform had been accessed more than 18 million times by late 2025, according to TMTPost. SV008
CV011 Jiemian reported that Bose Quantum has not publicly disclosed revenue figures. SV009
CV012 Jiemian said industry insiders describe most Chinese quantum companies as loss-making and dependent on venture funding rather than repeat customers. SV009
CV013 Jiemian said Bose Quantum’s earliest customers are often supercomputing centers that provide validation and public funding but not broad commercial diversity. SV009
CV014 Jiemian said Bose Quantum had begun building a factory in Shenzhen by late 2025. SV009, SV005
CV015 The retained public funding sources disclose amounts and investors but do not disclose Bose Quantum’s post-money valuation, security type, or preference terms. SV003, SV004, SV005, SV006, SV007, SV008, SV010
CV016 The retained Bose Quantum sources do not disclose revenue, gross margin, burn, runway, or customer-retention cohorts. SV003, SV004, SV009
CV017 USCC says China’s quantum push is shaped by state coordination, mega-project funding, and security priorities rather than only market pull. SV011
CV018 MERICS says China’s quantum development is state-governed and increasingly oriented toward supply-chain localization. SV012
CV019 RAND says significant private-sector commercialization in quantum is still new and eventual applications remain highly uncertain. SV013
CV020 Lawfare says export-control regimes and civil-military-fusion concerns broaden risk around China-linked quantum activity. SV014
CV021 IonQ reported $130.0 million of annual revenue for fiscal 2025 and said it was the first quantum company above $100 million of GAAP annual revenue. SV015
CV022 IonQ reported $3.3 billion of cash, cash equivalents, and investments as of December 31, 2025. SV015
CV023 IonQ’s market capitalization was about $19.88 billion around June 30, 2026 according to market-data trackers. SV016, SV017
CV024 D-Wave reported $24.6 million of fiscal 2025 revenue, up 179% from $8.8 million in fiscal 2024. SV018
CV025 D-Wave said it ended 2025 with its highest liquidity position in company history at more than $884 million. SV018
CV026 D-Wave’s market capitalization was about $8.88 billion around June 30, 2026 according to market-data trackers. SV019, SV020
CV027 Rigetti reported $7.1 million of total revenue for fiscal 2025. SV021, SV022
CV028 Rigetti reported a GAAP net loss of $216.2 million for fiscal 2025. SV021
CV029 Rigetti reported $589.8 million of cash, cash equivalents, and available-for-sale investments as of December 31, 2025. SV021
CV030 Rigetti’s market capitalization was about $6.42 billion around June 30, 2026, while its 2025 10-K recorded a $3.82 billion non-affiliate market value at June 30, 2025. SV022, SV023, SV024
CV031 Quantum Computing Inc. reported $373 thousand of total revenue for fiscal 2024 in its 2024 Form 10-K. SV025
CV032 Stock Analysis said Quantum Computing Inc. generated $682 thousand of annual revenue in 2025 and $4.33 million of trailing-twelve-month revenue by March 31, 2026. SV027
CV033 Quantum Computing Inc. had a market capitalization of about $2.19 billion around June 30, 2026 according to market-data trackers. SV026, SV028
CV034 Using market capitalization around the run date and the latest disclosed annual revenue, IonQ trades near 152.9x revenue. SV015, SV016, SV017
CV035 Using market capitalization around the run date and the latest disclosed annual revenue, D-Wave trades near 361.0x revenue. SV018, SV019, SV020
CV036 Using market capitalization around the run date and the latest disclosed annual revenue, Rigetti trades near 904.2x revenue. SV021, SV022, SV023, SV024
CV037 Using the 2025 revenue series from Stock Analysis and the June 2026 market cap snapshot, Quantum Computing Inc. trades near 3211.1x revenue. SV027, SV028
CV038 Quantinuum announced a roughly $600 million capital raise at a $10 billion pre-money valuation in September 2025. SV029
CV039 ORCA Computing announced a $15 million Series A round in 2022 to commercialize photonic quantum systems. SV030
CV040 The jump from ORCA’s early-stage photonic financing to Quantinuum’s scaled $10 billion mark shows that private quantum valuation dispersion is too wide to transfer mechanically to Bose Quantum. SV029, SV030
CV041 Public pure-play quantum valuations are pricing long-duration optionality, strategic scarcity, and cash runway rather than mature unit economics. SV015, SV018, SV021, SV027
CV042 Because Bose Quantum has disclosed fundraising but not revenue, post-money valuation, or preference terms, public evidence cannot support a buy recommendation at an undisclosed price. SV003, SV004, SV009, SV015, SV018, SV021
CV043 If Bose Quantum were marketed at a premium close to the richer public-quantum optionality set, investors would be paying for factory scale and repeat demand before the public evidence proves either. SV005, SV009, SV015, SV018, SV021
CV044 The most defensible current recommendation is research-more rather than buy or avoid. SV003, SV009, SV015, SV018, SV021, SV029
CV045 Confidence in that recommendation is medium because the product and financing signals are real but the financial disclosure gap is material. SV003, SV008, SV009, SV015, SV018
CV046 The risk rating is high because commercialization risk, policy risk, and financing opacity reinforce one another. SV009, SV011, SV012, SV013, SV014
CV047 The cleanest valuation stance is unknown on disclosed facts alone, although any aggressive markup over the latest round would look stretched without private proof on revenue and renewal quality. SV003, SV009, SV015, SV018, SV021
CV048 A bull case would require repeat enterprise or government renewals, disclosed revenue scale, pilot-line proof, and manageable policy constraints before a roughly $0.8–1.2 billion value band is defensible. SV005, SV009, SV029, SV030
CV049 A base case that assumes pilot-heavy commercialization and another opaque financing step supports a broader $0.35–0.6 billion underwriting band. SV009, SV015, SV018, SV021
CV050 A bear case where demand or policy execution breaks and the next round becomes a bridge or down-round supports only a roughly $0.1–0.25 billion value band. SV009, SV013, SV014, SV030
CV051 Bose Quantum is not IPO-ready on public evidence because audited revenue disclosure, term-sheet transparency, and mature governance signals are absent from the retained sources. SV003, SV009, SV025
CV052 The most plausible exit paths today are a strategic sale, a later state-linked recapitalization, or another private round rather than a near-term public listing. SV009, SV029, SV030
CV053 The key thesis-break triggers are failure to show repeat paying customers, failure to show factory yield and unit output, or a financing event with punitive terms. SV009, SV013, SV014
CV054 A pricing decision should be gated on audited revenue and gross margin, customer-renewal cohorts, cap-table and liquidation terms, factory-yield metrics, and an export-control memo. SV009, SV014, SV025
来源
编号出版方标题引文
SO001 QBoson 玻色量子 - 专用量子计算机 | 国际领先的量子计算技术 玻色量子聚焦相干量子计算及光量子计算技术路线,致力于可扩展、可编程光量子计算的各类型软硬件全平台研发与产业落地。
SO002 QBoson 玻色量子 - 关于玻色量子 北京玻色量子科技股份有限公司于2020年底在北京市朝阳区成立,是一家专注于专用量子计算的硬科技公司。
SO003 Baidu Baike Beijing Boson Quantum Technology Co., Ltd. Beijing Municipality Boson Quantum Technology Co., Ltd. was founded in November 2020 and is headquartered in Chaoyang District, Beijing.
SO004 TMTPost Beijing Government-backed Fund Leads A+ Round Financing for Boson Quantum The funding round was led by Beijing High-Precision and Cutting-edge Industry Development Investment Fund.
SO005 TMTPost China's Boson Quantum Secures New Funding to Accelerate Photonic Quantum Computing Push Boson Quantum in 2024 sold China's first commercial photonic quantum computer and issued the first official tax invoice for such a system.
SO006 TMTPost QBoson Secures Multi-Hundred-Million-USD Series A++ Funding to Advance Photonic Quantum Computing and AI Integration The funding round was co-led by Huade Tech Innovation and Nanshan Strategic Emerging Investment.
SO007 Xinhua 玻色量子完成10亿元B轮融资,加速专用量子计算产业化落地 3月31日,北京玻色量子科技有限公司完成10亿元B轮融资。
SO008 Yicai Global Chinese Quantum Startup QBoson Bags USD145 Million to Expand Chip, Computer Production QBoson has completed a Series B funding round worth CNY1 billion (USD145 million).
SO009 Quantum Computing Report QBoson Secures CNY 1 Billion ($145 Million USD) Series B for Photonic Quantum Hardware Scaling QBoson, a Beijing-based developer of photonic quantum hardware, has closed a Series B funding round totaling CNY 1 billion ($145 million).
SO010 The Quantum Insider Chinese Quantum Startup QBoson Raises $145 Million to Scale Chip Production QBoson has raised CNY 1 billion — or about $145 million USD — to expand chip production and scale its quantum computing systems.
SO011 The Quantum Insider China's Quantum Sector Sees Investment Surge as Larger Funding Rounds Return Beijing-based photonic quantum company QBoson closed a CNY 1 billion ($145 million) Series B.
SO012 36Kr 玻色量子完成数亿元A++轮融资,诺奖开启量子计算大航海时代 本轮融资由华德科创、南山战新投联合领投,广发信德、湖南财信产业基金、纬德信息等跟投。
SO013 Yicai Global Chinese Quantum Computing Startup QBoson Raises Over USD14.4 Million Chinese Quantum Computing Startup QBoson Raises Over USD14.4 Million.
SO014 QCC / Qichacha 北京玻色量子科技股份有限公司 2026-06-07 企业名称变更:从北京玻色量子科技有限公司变更为北京玻色量子科技股份有限公司。
SO015 Aiqicha 北京玻色量子科技股份有限公司 - 工商信息查询 - 爱企查 注册时间:2020-11-16;注册资本:36,000万(元);企业类型:其他股份有限公司(非上市)。
SO016 Aiqicha 北京玻色量子科技股份有限公司 - 玻色量子 - 爱企查 参保人数为96人,其中马寅担任副董事长,李惠玲担任财务负责人。
SO017 Google Scholar Kai Wen Kai Wen's profile lists quantum-computing and quantum-communication publications across Stanford and other research collaborations.
SO018 Quantum Journal Combinatorial optimization solving by coherent Ising machines based on spiking neural networks The paper credits Kai Wen and Chuan Wang in work linking coherent Ising machines and optical spiking neural networks.
SO019 State Council Information Office / Xinhua China's first photonic quantum computer factory breaks ground in Shenzhen Once completed, the facility is expected to manufacture dozens of photonic quantum computers annually.
SO020 People's Daily China's first photonic quantum computer factory breaks ground in Shenzhen Compared to other technological paths, photonic quantum computing does not require ultra-low temperatures.
SO021 China.com.cn 中国移动联合玻色量子打造“人人可用的量子计算”——恒山光量子算力平台公测上线 中国移动云能力中心联合北京玻色量子科技有限公司共同打造的五岳量子计算云平台——恒山光量子算力平台正式开启公测。
SO022 QBoson Official CSDN Blog 中国移动联合玻色量子打造“人人可用的量子计算”——恒山光量子算力平台公测上线 这是玻色量子继2023年5月16日成功发布自研的国内首台100量子比特相干光量子计算机真机之后的又一重要里程碑。
SO023 Fortune China 2025年《财富》中国科技50强 - 北京玻色量子科技有限公司 玻色量子在今年发布的1000量子比特相干光量子计算机成为中国首个达到该级别的光量子计算设备。
SO024 Physics World Baidu and Alibaba plan to quit quantum computing research Baidu and Alibaba have announced they are quitting quantum research, an adverse signal on near-term commercial viability.
SO025 GitHub qboson organization repositories The qboson organization publicly lists Kaiwu-PyTorch-Plugin and Kaiwu Community repositories with recent 2026 updates.
SO026 Tracxn Bose Quantum funding and investors The accessible Tracxn output shows 7 funding rounds and a Series B, but masks post-money valuation details behind subscription access.
SM001 QBoson 玻色量子产品系列 - 量子计算机硬件解决方案
SM002 China Internet News Center 中国移动联合玻色量子打造“人人可用的量子计算”——恒山光量子算力平台公测上线_中国网
SM003 U.S.-China Economic and Security Review Commission Vying for Quantum Supremacy: U.S.-China Competition in Quantum Technologies | U.S.- CHINA Central direction and a subordinate role for the commercial sector may constrain market-driven innovation in China’s quantum development.
SM004 MERICS China’s long view on quantum tech has the US and EU playing catch-up China sees quantum technology as pivotal in global science and technology competition and has stepped up government spending on scientific and industrial development to about USD 15 billion.
SM005 MIT Initiative on the Digital Economy Recently Released: 2025 MIT Quantum Index Report - MIT Initiative on the Digital Economy
SM006 MIT Initiative on the Digital Economy MIT Report Describes Quantum Opportunities, Challenges - MIT Initiative on the Digital Economy
SM007 The Quantum Insider State vs. Market: The Pros And Cons of China And U.S.'s Quantum Innovation Models
SM008 IQM Quantum Computers New Industry Study Finds Quantum Computing Has Entered a Capability Era, With Early Movers Building an Advantage Later Entrants Will Struggle to Close - IQM Quantum Computers Enterprise engagement is now nearly universal but production use remains rare: 89% of respondents report hands-on quantum work, while only 10% report limited production use and 3% have reached scaled deployment.
SM009 State Council Information Office China races to turn quantum computing into industrial solutions
SM010 The State Council of the People's Republic of China China hits new landmark in global quantum computing race
SM011 The State Council of the People's Republic of China China completes patent screening at universities, research institutions to enhance commercialization
SM012 QED-C State of the Global Quantum Industry 2026 | QED-C The quantum computing market is scaling rapidly from a $1.4B market to more than $3B over the same period.
SM013 McKinsey & Company McKinsey Quantum Technology Monitor 2026: A commercial tipping point Over 300 organizations including Airbus, Boehringer Ingelheim, E.ON, JPMorgan Chase, and Liberty Mutual are actively collaborating with quantum technology companies to solve business challenges.
SM014 Post-Quantum McKinsey Quantum Monitor 2026: Tipping Point?
SM015 D-Wave Quantum Inc. D-Wave Quantum Inc. Annual Report 2025 We are delivering measurable results today – applications in production, with paying customers, solving real-world problems that classical systems cannot solve.
SM016 PsiQuantum Applications — PsiQuantum
SM017 PsiQuantum Technology — PsiQuantum
SM018 Xanadu Xanadu | Xanadu introduces Aurora: world&#x27;s first scalable, networked and modular quantum computer
SM019 Xanadu Xanadu | Welcome to Xanadu
SM020 ORCA Computing Applications | ORCA Computing
SM021 ORCA Computing Technology | ORCA Computing
SM022 Quandela Quandela | Leading Photonic Quantum Computing Solutions
SM023 World Journal of Advanced Research and Reviews Quantum cloud computing: Enterprise strategies for hybrid quantum-classical workloads
SM024 The Quantum Insider Tracking Quantum Adoption in Enterprise: The Quantum Insider and HorizonX Consulting Launch Quantum Index at IYQ
SM025 Quantum Innovation Index Quantum Innovation Index
SM026 QBoson Welcome to Kaiwu SDK — Kaiwu SDK 1.3.1 documentation
SP001 QBoson 玻色量子产品系列 - 量子计算机硬件解决方案 目前已经成功研制出可实用化的100、550、1000和3000(超频模式下)计算量子比特的四款专用量子计算机。
SP002 QBoson Welcome to Kaiwu SDK — Kaiwu SDK 1.3.1 documentation
SP003 PsiQuantum Technology — PsiQuantum PsiQuantum's modular architecture combines photonic chips, networking, cryogenics, control systems, and software into an integrated platform designed for scalable deployment.
SP004 PsiQuantum Applications — PsiQuantum
SP005 Xanadu Xanadu introduces Aurora: world's first scalable, networked and modular quantum computer Xanadu introduces Aurora: world's first scalable, networked and modular quantum computer.
SP006 ORCA Computing Technology | ORCA Computing Rack-mounted, room temperature and leveraging telecoms-grade optical fibre components, the PT Series is an ideal solution for organisations seeking to integrate quantum computing into existing HPC infrastructure without special consideration for quantum.
SP007 ORCA Computing Applications | ORCA Computing
SP008 Quandela Quandela | Leading Photonic Quantum Computing Solutions Photonic quantum computers: modular, scalable, energy-efficient, accessible on the cloud and on-premises.
SP009 Quandela Products And Services Order quantum computers from 6 up to 24 qubits now.
SP010 Quandela Cloud Initially launched in November 2022, and now adopted by hundreds of academic and corporate users, Quandela Cloud is a comprehensive platform to discover, learn, test and develop quantum solutions.
SP011 LightSolver Technology - LightSolver The Laser Processing Unit™ introduces physics-based computing, enabling efficient, analog processing of complex HPC workloads that are computationally intensive on traditional hardware.
SP012 IBM IBM Quantum Computing | Products and services Pay-As-You-Go Plan — Pay for the quantum computer access you use. Billed per second of usage.
SP013 IBM IBM Quantum Computing | IBM Quantum Network Meet the world’s largest network of quantum innovators.
SP014 D-Wave The Leap™ Quantum Cloud Service | D-Wave The Leap™ quantum cloud service provides real-time access to the world’s largest quantum computers and powerful hybrid solvers while offering production-grade accessibility, reliability, and security.
SP015 Amazon Web Services Amazon Braket Pricing Amazon Braket offers three pricing components for on-demand use of a quantum computer (QPU): a per-shot fee and a per-task fee or a single hourly reservation fee.
SP016 Microsoft Azure Azure Quantum - Pricing | Microsoft Azure Azure Quantum offers a range of quantum solutions offered by Microsoft and its partners. Microsoft partners define and control the pricing of the solutions they make available.
SP017 NVIDIA Quantum Computing Solutions from NVIDIA Turning QPUs into useful quantum computers means integrating them with state-of-the-art AI supercomputers.
SP018 Physics World Baidu and Alibaba plan to quit quantum computing research The Chinese search engine company Baidu is giving up its quantum computing division by donating its entire research facility to the government-run Beijing Academy of Quantum Information Sciences (BAQIS).
SP019 U.S.-China Economic and Security Review Commission Vying for Quantum Supremacy: U.S.-China Competition in Quantum Technologies State Coordination Guides China to Early Quantum Breakthroughs.
SP020 MIT Initiative on the Digital Economy MIT Report Describes Quantum Opportunities, Challenges By contrast, the United States is the clear leader in quantum computing research quality and impact. The country is foremost in the number and diversity of quantum processing units (QPUs), making it the front-runner in quantum computing’s commercialization.
SP021 QED-C State of the Global Quantum Industry 2026 Quantum computing is scaling rapidly from a $1.4B market to more than $3B over the same period.
SP022 Securities and Exchange Commission / D-Wave Quantum Inc. D-Wave Quantum Inc. Annual Report 2025 In 2025, we delivered record revenue of $24.6 million, up 179% year-over-year.
SP023 IonQ IonQ - Investor Relations We lead the market with the first and only quantum computing hardware integrated with all major cloud platforms, quantum programming languages, and quantum software developer kits.
SP024 Rigetti Quantum Computing The Novera QPU, our 9-qubit QPU, gives you unprecedented access to quantum technology and empowers you to take your research to the next level.
SP025 IonQ IonQ: Trapped Ion Quantum Computing Company 99.99% two-qubit gate fidelity.
SP026 Quantinuum Quantinuum | Accelerating Quantum Computing Helios has the highest average two-qubit gate fidelity of any commercial quantum computer in the industry.
SP027 Microsoft Learn Pricing Plans for Azure Quantum Providers - Azure Quantum In Azure Quantum, hardware and software providers define and control the pricing of their offerings.
SP028 Amazon Web Services Cloud Quantum Computing Service - Amazon Braket - AWS Easily work with different types of quantum computers and circuit simulators using a consistent set of development tools.
SI001 QBoson 玻色量子 - 专业的量子计算解决方案提供商 从开发者大赛激发创意灵感,加入活跃的开发者社区,通过直观的Kaiwu SDK构建算法模型,然后在量子云平台验证性能,最终部署至实体量子计算机解决真实世界挑战。
SI002 QBoson 关于玻色量子 - 专业的量子计算公司 公司已在苏州、深圳、南京等地建设光量子实验室,并于深圳落地中国首个规模化专用量子计算机制造工厂。
SI003 QBoson 玻色量子产品系列 - 量子计算机硬件解决方案 相干量子计算已完成工程样机和算法验证,已并入中国移动云“五岳量子计算云平台”,可在人工智能、通信、金融、医药、能源等行业实际应用。
SI004 QBoson 玻色量子产品规格对比 - 详细技术参数 驭量山海1000 可用时长不少于16小时/天,MTBF不少于1000小时,功耗不超过1,500W。
SI005 QBoson 驭量·山海1000专用量子计算机 整体服务时长16+小时/天;L2级自动调光控制、常见故障智能修复,减少人工运维成本。
SI006 QBoson AI 人工智能解决方案 - 量子计算赋能智能应用
SI007 QBoson 生物制药解决方案 - 量子计算加速新药研发
SI008 QBoson 智慧城市解决方案 - 量子计算驱动城市创新
SI009 Kaiwu Quantum Developer Community 开物量子开发者社区 Pass Rewards 10 quotas for 550-qubit real quantum machines with a one-year validity period; Fixed Monthly Benefits: 5 quotas for 550-qubit real quantum machines.
SI010 QBoson 相干光量子计算云平台-玻色量子
SI011 QBoson Overview — Kaiwu SDK 1.3.1 documentation The SDK is a software development kit designed for solving QUBO problems ... and call the quantum computer machine directly through the physical interface.
SI012 GitHub GitHub - qboson/kaiwu_community
SI013 China Internet Information Center 中国移动联合玻色量子打造“人人可用的量子计算”——恒山光量子算力平台公测上线 用户在注册开通“五岳”量子云服务后,进入控制台页面,选择访问“恒山光量子算力服务”,即可订购真机算力服务。
SI014 Qichacha 北京玻色量子科技股份有限公司 - 企查查 注册资本 36000万元;实缴资本 1798.0521万元;参保人数 96 (2025年报)。
SI015 Aiqicha 北京玻色量子科技股份有限公司 - 工商信息查询 - 爱企查
SI016 Aiqicha 北京玻色量子科技股份有限公司 - 玻色量子 - 爱企查
SI017 Yicai Global Chinese Quantum Startup QBoson Bags USD145 Million to Expand Chip, Computer Production The proceeds will be used to ... establish a pilot production line for quantum computing chips, expand operations at China’s first large-scale quantum computer factory, and build a business ecosystem integrating quantum computing with artificial intelligence.
SI018 Yicai Global Chinese Quantum Computing Startup QBoson Raises Over USD14.4 Million
SI019 36Kr Bose Quantum Secures Hundreds of Millions of Yuan in Series A++ Financing The funds will be continuously used for ... construction of quantum computing chip process capabilities; construction and operation of the first large-scale special-purpose optical quantum computer manufacturing factory in China in Nanshan District, Shenzhen.
SI020 The Quantum Insider Chinese Quantum Startup QBoson Raises $145 Million to Scale Chip Production
SI021 Quantum Computing Report QBoson Secures CNY 1 Billion ($145 Million USD) Series B for Photonic Quantum Hardware Scaling
SI022 IBM Quantum IBM Quantum Computing | Products and services
SI023 Amazon Web Services Amazon Braket Pricing
SI024 Microsoft Learn Pricing Plans for Azure Quantum Providers - Azure Quantum
SI025 D-Wave The Leap™ Quantum Cloud Service | D-Wave
SI026 U.S. Securities and Exchange Commission / D-Wave Quantum D-Wave Quantum Inc. Annual Report 2025 In 2025, we delivered record revenue of $24.6 million, up 179% year-over-year, and we ended the year with $884.5 million in cash and marketable securities.
SI027 Physics World Baidu and Alibaba plan to quit quantum computing research Given it takes many years before quantum products fully hit the market, the shift in focus to other business activities may be commercially driven.
SE001 QBoson 玻色量子 - 专业的量子计算解决方案提供商 从开发者大赛激发创意灵感,加入活跃的开发者社区,通过直观的Kaiwu SDK构建算法模型,然后在量子云平台验证性能,最终部署至实体量子计算机解决真实世界挑战。
SE002 QBoson 玻色量子产品系列 - 量子计算机硬件解决方案 通过控制器可以实现任意节点之间的全连接,可软件编程适配不同场景。
SE003 QBoson 玻色量子 - 专用量子计算机 | 国际领先的量子计算技术 国内首款最高支持3000比特且可长时间稳定运行的专用量子计算机,支持3种运算模式。
SE004 QBoson 玻色量子产品规格对比 - 详细技术参数 驭量山海1000可用时长不少于16小时/天,MTBF不少于1000小时,MTTR不超过72小时;通过中国信息通信研究院技术验证。
SE005 QBoson AI 人工智能解决方案 - 量子计算赋能智能应用
SE006 QBoson 生物制药解决方案 - 量子计算加速新药研发
SE007 QBoson 智慧城市解决方案 - 量子计算驱动城市创新
SE008 QBoson Cloud 玻色量子云 | 量子真机算力云服务 多台专用光量子计算机虚拟化为统一算力池,24台设备统一纳管、动态负载均衡、故障自动切换。
SE009 Kaiwu Quantum Developer Community 开物量子开发者社区-聚焦十五五规划,深耕专用实用化量子计算学习实践,玻色量子实操与开发者认证平台 Pass Rewards 10 quotas for 550-qubit real quantum machines with a one-year validity period; Fixed Monthly Benefits: 5 quotas for 550-qubit real quantum machines.
SE010 QBoson Overview — Kaiwu SDK 1.3.1 documentation The SDK currently includes the following core modules: qubo, cim, ising, preprocess, classical, sampler, solver, and common.
SE011 QBoson Installation Instructions — Kaiwu SDK 1.3.1 documentation
SE012 QBoson Changelog — Kaiwu SDK 1.3.1 documentation
SE013 QBoson Beginner Tutorial - QUBO Modeling
SE014 QBoson Beginner Tutorial - Using the Real Machine The whole process from modeling, submitting Qubo matrix to the cloud platform, and obtaining calculation results from the cloud platform is demonstrated through the Traveling Salesman Problem (TSP).
SE015 GitHub / qboson GitHub - qboson/kaiwu_community
SE016 GitHub / qboson GitHub - qboson/kaiwu-pytorch-plugin Kaiwu-PyTorch-Plugin is a quantum computing programming suite based on PyTorch and the Kaiwu SDK.
SE017 GitHub / QBosonCommunity GitHub - QBosonCommunity/kaiwu-basic-examples
SE018 GitHub / QBosonCommunity GitHub - QBosonCommunity/Developer-harbor
SE019 Quantum Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
SE020 arXiv Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
SE021 arXiv Photonic Quantum Computers
SE022 Jiemian Global Selling before perfection: a Chinese startup tests a shortcut to quantum computing-Jiemian Global Not everyone is convinced. Researchers working on universal quantum systems argue that special-purpose machines face limits of their own.
SE023 Yicai Global Chinese Quantum Startup QBoson Bags USD145 Million to Expand Chip, Computer Production The proceeds will be used to overcome key technological barriers to practical quantum computers, establish a pilot production line for quantum computing chips, expand operations at China’s first large-scale quantum computer factory, and build a business ecosystem integrating quantum computing with artificial intelligence.
SE024 Quantum Computing Report QBoson Secures CNY 1 Billion ($145 Million USD) Series B for Photonic Quantum Hardware Scaling
SE025 State Council Information Office / Xinhua China's first photonic quantum computer factory breaks ground in Shenzhen
SE026 IAF CertSearch Verify Certificates Instantly | IAF CertSearch A certificate is valid if it appears in IAF CertSearch, has an Active status, and is up to date.
SE027 China Internet Information Center 中国移动联合玻色量子打造“人人可用的量子计算”——恒山光量子算力平台公测上线_中国网 端到端实现“数据构建、任务提交、安全鉴权、状态监控、消息互传”的一站式支持,对外提供持续稳定的、任务式的量子真机算力服务。
SU001 QBoson 玻色量子云 | 量子真机算力云服务 玻色量子已与50+家高校及企业合作并获得众多领域专家支持。
SU002 QBoson AI 人工智能解决方案 - 量子计算赋能智能应用
SU003 QBoson 生物制药解决方案 - 量子计算加速新药研发
SU004 QBoson 智慧城市解决方案 - 量子计算驱动城市创新
SU005 Jiemian Global Selling before perfection: a Chinese startup tests a shortcut to quantum computing-Jiemian Global Commercial traction remains tentative.
SU006 QbitAI 人人可用的量子计算!恒山光量子算力平台公测上线 “恒山光量子算力平台”面向政企及科研用户开放。
SU007 Xinhua / news.cn “量子+超算”融合创新平台落地成都 国家超算成都中心已完成550量子比特相干光量子计算机部署。
SU008 Sohu 玻色量子“量超融合”再突破:国内首台专用量子计算机部署国家超算中心
SU011 Securities Times / STCN 玻色量子中标招商银行量子计算采购项目“天秤AI” 公司中标招商银行首个量子计算采购项目“天秤AI”。
SU012 QbitAI 量子+AI4S!玻色量子完成数亿A++轮融资 平台调用求解次数累计超过6800w次,覆盖院校超过900所,参与研发的开发者人数超过10000人。
SU013 GitHub GitHub - qboson/kaiwu_community
SU014 GitHub GitHub - qboson/kaiwu-pytorch-plugin
SU015 GitHub qboson organization repositories
SU016 Read the Docs 概述 — Kaiwu Community 1.0.4 文档
SU017 Saikr 4月8日(今晚)19:30,玻色量子企业专家公开讲座开课通知-2026年第十六届MathorCup数学应用挑战赛-赛氪
SU018 Zhejiang Online / ZJOL 以"金融之芯"托举"量子强国" ——平安银行杭州分行开展量子产业专题调研
SU019 Tencent News / Beijing Business Today 玻色量子创始人&COO马寅:银行在投资高风险、长周期回报的硬科技项目时较为谨慎 银行投资机构在面对高风险、长周期回报的硬科技项目时显得较为谨慎。
SU020 Science and Technology Daily 齐聚第二十八届科博会 玻色量子构建量子计算产业全新生态 现场,玻色量子与20余家合作伙伴签署战略协议。
SU021 Science and Technology Daily 我国首个规模化专用光量子计算机制造工厂落地深圳 目前,公司已与中国移动、晶泰科技、深圳地铁等开展深度合作。
SU022 Xinhua / Xinhuanet 新华网财经观察丨融资热潮来袭 “量子+AI”加速产业化落地
SU023 量科网 / Quantum Technology Center 玻色量子助力国内量子计算技术实用化 开物量子开发者社区正式上线!
SU024 QBoson Kaiwu SDK社区版GitHub仓库地址
SU025 QBoson Welcome to Kaiwu SDK — kaiwu SDK Documentation v1.1.2 documentation
SU026 QBoson 关于玻色量子 - 专业的量子计算公司
SU027 QBoson 玻色量子产品系列 - 量子计算机硬件解决方案
SR001 U.S. Department of the Treasury Outbound Investment Security Program
SR002 Bureau of Industry and Security Guidance Regarding Enforcement of License Requirements for Advanced Computing Items for Entities Headquartered in Country Group D:5 and Macau
SR003 State Council of the People's Republic of China Regulations of the People's Republic of China on Export Control of Dual-Use Items
SR004 Bird & Bird Quantum Computing Laws and Regulations 2026 – China
SR005 Lawfare Technology Controls to Contain China's Quantum Ambitions Are Here
SR006 Kirkland & Ellis U.S. Department of the Treasury Releases Final Rule Implementing Executive Order on Outbound Foreign Investments into China
SR007 Gibson Dunn Much Ado About Outbound: Unpacking the Newest U.S. Regulatory Regime
SR008 Goodwin Twenty Questions on the Outbound Investment Security Program
SR009 Skadden US Treasury Creates the Reverse CFIUS Program, a Limited Great Wall on Outbound Investment
SR010 U.S.-China Economic and Security Review Commission Vying for Quantum Supremacy: U.S.-China Competition in Quantum Technologies
SR011 MERICS China's long view on quantum tech has the US and EU playing catch-up
SR012 RAND An Assessment of the U.S. and Chinese Industrial Bases in Quantum Technology
SR013 Center for a New American Security Quantum's Industrial Moment
SR014 arXiv Coherent Ising Machines: The Good, The Bad, The Ugly
SR015 IOP Quantum Science and Technology Single photon coherent Ising machines for constrained optimization problems
SR016 arXiv Photonic Quantum Computers
SR017 PostQuantum China's Quantum Supply Chain: How Export Controls Are Building What They Sought to Prevent
SR018 PostQuantum The Fab's Hidden Supply Chain: Who Really Wins If Photonic Quantum Computing Wins
SR019 The Quantum Insider Scientists Propose Early-Warning System for Quantum Supply Chain as China Tightens Minerals Grip
SR020 Quantum Computing Report QBoson Secures CNY 1 Billion ($145 Million USD) Series B for Photonic Quantum Hardware Scaling
SR021 Yicai Global Chinese Quantum Startup QBoson Bags USD145 Million to Expand Chip, Computer Production
SR022 Jiemian Global Selling before perfection: a Chinese startup tests a shortcut to quantum computing
SR023 QbitAI Hengshan Photonic Quantum Computing Platform Public Beta Launch
SR024 Qichacha Beijing Boson Quantum Technology Co., Ltd. company record
SR025 QBoson About QBoson
SR026 D-Wave Quantum Annual report on Form 10-K for fiscal year 2025
SR027 Quantum Computing Inc. Annual report on Form 10-K for fiscal year 2024
SR028 Rigetti Computing Annual report on Form 10-K for fiscal year 2025
SR029 Davis Polk Final outbound investment rule released
SR030 Bureau of Industry and Security Export Administration Regulations landing page
SV001 QBoson 玻色量子 - 专业的量子计算解决方案提供商 聚焦专用量子计算和量子计算产业化。
SV002 QBoson 关于玻色量子 - 专业的量子计算公司
SV003 Yicai Global Chinese Quantum Startup QBoson Bags USD145 Million to Expand Chip, Computer Production
SV004 Quantum Computing Report QBoson Secures CNY 1 Billion ($145 Million USD) Series B for Photonic Quantum Hardware Scaling
SV005 The Quantum Insider Chinese Quantum Startup QBoson Raises $145 Million to Scale Chip Production
SV006 Xinhua 玻色量子完成10亿元B轮融资,加速专用量子计算产业化落地
SV007 TMTPost Beijing Government-backed Fund Leads A+ Round Financing for Boson Quantum
SV008 TMTPost China's Boson Quantum Secures New Funding to Accelerate Photonic Quantum Computing Push
SV009 Jiemian Global Selling before perfection: a Chinese startup tests a shortcut to quantum computing-Jiemian Global Revenue figures have not been disclosed. Industry insiders say most Chinese quantum firms remain loss-making, relying on venture funding rather than repeat customers.
SV010 36Kr 玻色量子完成数亿元A++轮融资, 诺奖开启量子计算大航海时代
SV011 U.S.-China Economic and Security Review Commission Vying for Quantum Supremacy: U.S.-China Competition in Quantum Technologies
SV012 MERICS China’s long view on quantum tech has the US and EU playing catch-up
SV013 RAND An Assessment of the U.S. and Chinese Industrial Bases in Quantum Technology
SV014 Lawfare Technology Controls to Contain China’s Quantum Ambitions Are Here
SV015 IonQ IonQ Announces Fourth Quarter and Full Year 2025 Financial Results
SV016 CompaniesMarketCap IonQ (IONQ) - Market capitalization
SV017 Macrotrends IonQ Market Cap 2021-2025 | IONQ
SV018 D-Wave Quantum D-Wave Reports Fourth Quarter and Year-End 2025 Results
SV019 CompaniesMarketCap D-Wave Quantum (QBTS) - Market capitalization
SV020 Macrotrends D-Wave Quantum Market Cap 2021-2025 | QBTS
SV021 Rigetti Rigetti Computing Reports Fourth Quarter and Full-Year 2025 Financial Results
SV022 Securities and Exchange Commission RIGETTI COMPUTING, INC. Annual Report for fiscal year ended December 31, 2025
SV023 CompaniesMarketCap Rigetti Computing (RGTI) - Market capitalization
SV024 Macrotrends Rigetti Computing Market Cap 2021-2025 | RGTI
SV025 Securities and Exchange Commission Quantum Computing Inc. Annual Report for fiscal year ended December 31, 2024
SV026 CompaniesMarketCap Quantum Computing (QUBT) - Market capitalization
SV027 Stock Analysis Quantum Computing (QUBT) Revenue 2011-2026
SV028 Stock Analysis Quantum Computing (QUBT) Market Cap & Net Worth
SV029 Quantinuum / Honeywell Honeywell Announces $600 Million Capital Raise For Quantinuum at $10b Pre-Money Equity Valuation to Advance Quantum Computing at Scale
SV030 ORCA Computing ORCA Computing completes $15 million Series A funding round | ORCA Computing